https://fintobooks.com

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    "title": "FinToBooks — Bank Statements to Tally, Reconciled",
    "excerpt": "Convert Indian bank statements, UPI transactions, and credit cards into reconciled, categorized Tally XML & Excel in minutes.",
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      "description": "Convert bank statement PDFs, UPI transactions, credit-card statements, receipts, bills and invoices into reconciled, categorized, Tally-ready accounting data. Built for Indian CAs and CA firms.",
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          "description": "Convert bank statements, UPI transactions, credit-card statements, receipts, bills and invoices into reconciled, categorized, Tally-ready accounting data — built for Indian CAs and CA firms.",
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                "text": "Almost certainly. Verified banks have a published accuracy figure from our golden-sample suite; everything else runs through the generic parser, which reads most text-based statements. Either way the reconciliation tells you whether the result is trustworthy — you're never guessing."
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              "name": "Is my clients' data safe?",
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                "text": "Statement passwords are used once, in memory, and never written to a log or database. Raw PDFs are deleted after processing — only structured transaction data is retained, for a retention window you control and can shorten to 30 days."
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                "text": "Lower than on a native-text PDF, and we tell you which one produced your result rather than quoting a single blanket accuracy number. Scans cost 2 credits/page and photos 3, because that's what they genuinely cost to process reliably."
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                "text": "Gateway of Tally → Import Data → XML. Vouchers arrive pre-classified as Payment, Receipt or Contra, and any ledger missing from your company is included as a master-creation entry in the same file, so the import completes in one pass."
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  "markdown": "AI-powered financial document conversion\n\n## Turn financial documents into accounting-ready data. Export to Tally XML, Excel (.xlsx), CSV, JSON, or QuickBooks.\n\nFrom statement to books, without the manual work.\n\nUPI, NEFT, credit cards, cooperative banks — FinToBooks reads them all, reconciles every rupee against the statement's own closing balance, and hands you clean, categorized entries ready to import.\n\nNo signup for your first conversion · Tally Prime & ERP 9 · password-protected PDFs supported\n\n100+ banksReconciled to the rupeeRules + AI fallbackTally XMLSector-awareDPDP-conscious\n\nRAW NARRATION · SOURCE DATA\n\nUPI/504812293841/PYTM/RAJKUMARTRD\n\nNEFT-N082217-BOI-SUBCONTRACT-0092\n\nIMPS/P2A/665521/RENT-AUG-2026\n\n↓ decoded · categorized · reconciled\n\nRESOLVED OUTPUT\n\nRajkumar Trading Co.₹18,450\n\nUPIMaterial Purchase✓ Verified\n\nMehta Subcontractors₹42,000\n\nNEFTSubcontractor✓ Verified\n\nOffice Landlord₹55,000\n\nIMPSRent Expense✓ Verified\n\n0\\+ layouts\n\nIndian bank formats read\n\nincl. co-operative & RRB\n\n0.0%\n\nField accuracy, verified banks\n\n1 verified bank · 42 golden samples\n\n0sec\n\nTypical statement, end to end\n\n10-page native-text PDF\n\n₹1.87/page\n\nEffective cost on Business\n\n800 credits at ₹1,499/month\n\nTHE DAILY REALITY\n\n## Without FinToBooks / With FinToBooks\n\nThe same five hours, spent very differently.\n\n-   ✕Hours retyping bank entries into Tally by hand\n\n    ✓Statements converted and categorized in minutes\n\n-   ✕UPI narrations that mean nothing out of context\n\n    ✓Every UPI/NEFT/IMPS reference decoded into payee, mode, reference\n\n-   ✕No way to know whether you missed a transaction\n\n    ✓Every statement reconciled against its own closing balance\n\n-   ✕One client's rules bleeding into another's books\n\n    ✓Separate rules and books per client, always\n\n-   ✕Guessing whether a scanned statement was read correctly\n\n    ✓Told plainly which input type produced which result\n\nTHE PIPELINE · F1 → F18\n\n## Four steps. You approve the last one.\n\nEvery stage runs the same way for every statement. Nothing reaches Tally unapproved.\n\n1\n\nF1 · F2 · INGESTION\n\n### Drop the PDF — locked or not\n\nDrag and drop, browse, or forward it to your dedicated Client inbox. Password-protected e-statements are unlocked in memory and the password is discarded immediately.\n\n✓Up to 30 files per batch on Business✓Password used once, never logged✓File-size and daily-rate guardrails checked before processing\n\nPRE-FLIGHT CHECKS\n\nFile type · sizePDF · 4.2 MB ✓\n\nEncryptionUnlocked in memory ✓\n\nBatch / daily limit3 of 30 files ✓\n\n2\n\nF56 · F3 · F4 · PARSING\n\n### Bank and layout detected, then parsed properly\n\nWe match the statement against known bank markers and load that layout's parser profile — column positions, date format, balance-sign convention. No text layer? OCR takes over and says so.\n\n✓Multi-line narrations reassembled, not split✓Repeated page headers filtered out✓Cr/Dr suffix conventions handled per bank\n\nDETECTION RESULT\n\nBankHDFC Bank ✓\n\nLayout4-column net-banking\n\nInput typeNative text (1 credit/page)\n\n3\n\nF8 · F9 · F10 · TRUST\n\n### The maths is checked before you see anything\n\nEvery row is reconciled against the statement's own printed closing balance. Only then do rules run — client rules first, then firm rules, and AI strictly as a last resort, always labelled as such.\n\n✓Rules before AI, never the other way round✓Unmatched rows go to Suspense, never hidden✓Confidence recorded per transaction\n\nRECONCILIATION\n\nRows parsed412 of 412\n\nClosing balance delta₹0.00 ✓\n\nFlagged for review7 rows · Suspense\n\n4\n\nF36 · F15–F18 · OUTPUT\n\n### You approve. Then it posts.\n\nFlagged rows surface first so you fix the 7 that matter, not re-check all 412. Export to Excel, CSV, JSON or Tally XML — with ledger masters bundled so the import completes in one pass.\n\n✓Mandatory review before export, every tier✓Corrections become rules for next month✓Re-export any time without re-uploading\n\nEXPORT TARGETS\n\nTally XMLPayment / Receipt / Contra ✓\n\nExcel workbookMulti-sheet analysis ✓\n\nCSV · JSONIncluded, every tier ✓\n\nTHE PRODUCT ITSELF\n\n## You can always see what's verified, and what's still raw\n\nThese are the product's real components — not marketing illustrations.\n\nDATENARRATIONAMOUNT\n\n12 AugUPI/504812293841/PYTM/RAJKUMARTRD₹18,450\n\n12 AugNEFT-N082217-BOI-SUBCONTRACT₹42,000\n\n13 AugUPI/990182734/GPAY/UNKNOWN9821₹3,200\n\n14 AugIMPS/P2A/665521/RENT-AUG-2026₹55,000\n\n16 AugCHQ-RET-INSUFFICIENT-FUNDS₹12,000\n\n01 · REVIEW TABLE\n\n### Raw stays raw. Resolved looks resolved.\n\nBank narrations stay in monospace so source data never gets confused with processed output. Confidence is a quiet dot — hover a row for the exact figure. Suspense entries carry an amber left border you notice without reading a single label.\n\n✓Suspense rows carry an amber left border✓Exact confidence on hover, never on every row✓Card-per-transaction layout below tablet width\n\nProcessing…Skeletons mirror real content shape — never a bare spinner\n\n✓ VerifiedClosing balance matched to ₹0.00\n\nRequires reviewRows flagged, nothing hidden\n\nFailed — password decryptionNamed cause + retry, never \"something went wrong\"\n\n02 · RECONCILIATION\n\n### Every statement checks its own math\n\nBefore you see a single row, the statement is reconciled against its own printed closing balance. A misread table is caught immediately instead of silently accepted — and the badge tells you which of those two happened.\n\n✓Closing-balance check before you see anything✓Never gated — free tier included✓Failed states name the actual cause\n\nCREDIT BALANCE\n\n552 / 800 credits used~480 typical statements remaining\n\nNative-text PDF page1 credit\n\nScanned page (OCR)2 credits\n\nPhoto / screenshot page3 credits\n\n03 · CREDITS, TRANSLATED\n\n### A number nobody can misread\n\n\"12,400 credits\" means nothing on its own, so we never show it on its own. Every raw figure carries a plain-language translation, and expensive input types cost more credits because they genuinely cost more to process — stated up front, not discovered later.\n\nWHO IT'S FOR\n\n## Whoever closes the books, FinToBooks fits\n\nPick the one that sounds like you — we'll show the exact plan shape that fits.\n\n-   Solo CA & bookkeeper### A month of client statements before lunch\n\n    One login, five client books, rules that learn per client instead of bleeding into each other.\n\n    ✓5 separate client workspaces, isolated rules✓Credit card statements parsed natively✓Usage & credit-consumption analytics dashboard\n\n    The tier most solo practitioners stay on for years — you only move up when you hire.\n\n    Growth₹499/mo\n\n    Credits / month250 pages\n\n    Client workspacesUp to 5\n\n    Seats1\n\n    Retention15 days\n\n    [Start on Growth](https://fintobooks.com/pricing)\n-   CA firm & practice### Standardise every desk on one shared pool\n\n    Up to five staff logins drawing from one credit pool, each seeing only the clients you grant them.\n\n    ✓Unlimited client workspaces✓Members never see Billing or Team — absent, not greyed out✓Firm-wide shared rules + audit trail on corrections\n\n    Need another seat? It's a small monthly add-on, not a forced tier jump — see pricing for the exact figure.\n\n    Business₹1,499/mo\n\n    Credits / month800 pages\n\n    Client workspacesUnlimited\n\n    SeatsUp to 5\n\n    Retention15 days\n\n    [Start on Business](https://fintobooks.com/pricing)\n-   Business owner### Your own books, without learning accountancy\n\n    Plain-language everything. Export to Excel if you never touch Tally, or hand clean XML to your CA.\n\n    ✓Free tier covers occasional months✓Reconciliation and honest accuracy labels always included✓No card required to test on a real statement\n\n    Start free, upgrade only if your volume genuinely outgrows it.\n\n    Free → Growth₹0\n\n    Credits / month20 pages\n\n    Client workspaces1\n\n    Seats1\n\n    Retention7 days\n\n    [Convert one free](https://fintobooks.com/pricing)\n\n✦ Not tied to a fixed bank list\n\n## Verified accuracy, published per bank — never a blanket claim.\n\nFinToBooks reads the statement, not the logo. Verified banks below carry a measured accuracy figure from real golden-sample statements — and because the engine isn't tied to a fixed list, it also handles most other text-based statements. Reconciliation tells you whether it read yours correctly, either way.\n\nType to confirm your bank, or just drop your statement in.\n\n### HDFC Bank\n\nGolden-sample verified 2026-08-15\n\n✓ Verified — 98.4%\n\nSupport status\n\nVerified profile\n\nField accuracy\n\n98.4%\n\nGolden samples tested\n\n42\n\nUsual PDF password\n\nDate of birth in DDMMYYYY format\n\n98.4% field-level accuracy across 42 real statements — published, not estimated.\n\n-   Multi-line narrations continue on the next row with no date — these are reassembled, not read as separate transactions\n-   Net-banking and mobile-app exports use different column orders for the same account\n-   A single amount column carries direction as a trailing Cr/Dr suffix rather than separate debit/credit columns\n\n[Convert a HDFC statement](https://fintobooks.com/banks/hdfc)\n\nMore banks are added as we publish verified profiles — reconciliation checks every statement either way.\n\nGot an unusual statement that didn't read cleanly? [Read the FAQ for what to do next.](https://fintobooks.com/faq)\n\nTally PrimeTally ERP 9PDFExcelCSVJSON\n\nHONEST COMPARISON\n\n## Compared with generic cloud converters\n\nAgainst the category, not any specific product. Click a row for why it matters at your desk.\n\nFinToBooks7 / 7\n\nBuilt for Indian UPI + Tally from the first commit\n\nGeneric converters1 / 7\n\nGood at extraction, not at Indian books\n\nFinToBooksGeneric converters\n\nTRUST, BY ARCHITECTURE\n\n## Follow one statement through the system\n\nThis is the whole path a client's file takes — including where it stops existing.\n\n↑STAGE 01\n\n### The file arrives, and nothing else happens yet\n\nTransport is encrypted, the file is checked against your tier's size and batch guardrails, and it is queued — no parsing, no storage decisions taken yet.\n\nTLS in transitSize + batch checked firstQueued per Client, never mixed\n\n🔑STAGE 02\n\n### Password used once, in memory, then gone\n\nPassword-protected e-statements are decrypted in memory. The password is never written to a log, a database, or a support ticket — and attempts are rate-limited against brute force.\n\nNever persistedNever loggedAttempt-limited\n\n⚙STAGE 03\n\n### Structured data is created — and that's the source of truth\n\nThe statement becomes a compact structured record: transactions, counterparties, categories, confidence. Any file you export from it (Excel, Tally XML, etc.) is kept for 30 days so you can re-download it, then auto-deletes.\n\nRow-level security per WorkspaceExports auto-delete in 30 daysConfidence recorded per row\n\n✕STAGE 04\n\n### The original PDF stops existing\n\nOnce structured data is written and reconciled, the source PDF is deleted automatically. There is no archive of client statements to leak, subpoena, or breach — because we chose not to keep one.\n\nAutomatic, not a settingNo PDF archive existsNothing to export in a breach\n\n◷STAGE 05\n\n### You decide how long the structured data lives\n\n7 days on Free, 15 days on Growth, 15 days on Business — shortenable whenever you want, shown plainly in the app rather than buried in a policy.\n\nShortenable to 30 daysSupport access logged per lookRe-export before deletion\n\nSOCIAL PROOF, HONESTLY\n\n## We'd rather show you nothing than testimonials we wrote ourselves.\n\nReal quotes from real CAs will sit here once there are some worth showing. Until then the honest answer is to run it on your own statements and judge the reconciliation for yourself — it either matches the closing balance or it doesn't.\n\n[Try it on your own statement](https://fintobooks.com/banks/hdfc)\n\nFAQ\n\n## Questions a careful accountant asks first\n\n-   Almost certainly. Verified banks have a published accuracy figure from our golden-sample suite; everything else runs through the generic parser, which reads most text-based statements. Either way the reconciliation tells you whether the result is trustworthy — you're never guessing.\n\n-   Processing pauses and you're offered ₹199/month per +100 credits/month or an upgrade. Never a silent failure halfway through an upload.\n\n-   Statement passwords are used once, in memory, and never written to a log or database. Raw PDFs are deleted after processing — only structured transaction data is retained, for a retention window you control and can shorten to 30 days.\n\n-   Lower than on a native-text PDF, and we tell you which one produced your result rather than quoting a single blanket accuracy number. Scans cost 2 credits/page and photos 3, because that's what they genuinely cost to process reliably.\n\n-   Gateway of Tally → Import Data → XML. Vouchers arrive pre-classified as Payment, Receipt or Contra, and any ledger missing from your company is included as a master-creation entry in the same file, so the import completes in one pass.\n\n-   Yes. Your plan stays active to the end of the current billing period, and the grace-period behaviour is explained plainly at the point of cancellation, not buried in terms.\n\n## Stop entering transactions. Start reviewing them.\n\nDrop in a statement and see it reconciled before your chai gets cold. No signup for the first one.\n",
  "fullPageMarkdown": "FinToBooks — Bank Statements to Tally, Reconciled\n\n[![FinToBooks](https://fintobooks.com/_next/image?url=%2FfinToBooks-logo.png&w=64&q=75)FinToBooks](https://fintobooks.com/)\n\n[Sign in](https://fintobooks.com/login)[Convert a statement free](https://fintobooks.com/convert)\n\nAI-powered financial document conversion# Turn financial documents into accounting-ready data. Export to Tally XML, Excel (.xlsx), CSV, JSON, or QuickBooks.Turn financial documents into accounting-ready data. Export toTally XMLExcel (.xlsx)CSVJSONQuickBooksTally XML\n\nFrom statement to books, without the manual work.\n\nUPI, NEFT, credit cards, cooperative banks — FinToBooks reads them all, reconciles every rupee against the statement's own closing balance, and hands you clean, categorized entries ready to import.\n\n[Convert your first statement free](https://fintobooks.com/convert)[See how it works](https://fintobooks.com/#how)\n\nNo signup for your first conversion · Tally Prime & ERP 9 · password-protected PDFs supported\n\n100+ banksReconciled to the rupeeRules + AI fallbackTally XMLSector-awareDPDP-conscious\n\nHDFC\\_Aug2026.pdfDetecting bank…\n\nRAW NARRATION · SOURCE DATA\n\nUPI/504812293841/PYTM/RAJKUMARTRD\n\nNEFT-N082217-BOI-SUBCONTRACT-0092\n\nIMPS/P2A/665521/RENT-AUG-2026\n\n↓ decoded · categorized · reconciled\n\nRESOLVED OUTPUT\n\nRajkumar Trading Co.₹18,450\n\nUPIMaterial Purchase✓ Verified\n\nMehta Subcontractors₹42,000\n\nNEFTSubcontractor✓ Verified\n\nOffice Landlord₹55,000\n\nIMPSRent Expense✓ Verified\n\n0\\+ layouts\n\nIndian bank formats read\n\nincl. co-operative & RRB\n\n0.0%\n\nField accuracy, verified banks\n\n1 verified bank · 42 golden samples\n\n0sec\n\nTypical statement, end to end\n\n10-page native-text PDF\n\n₹1.87/page\n\nEffective cost on Business\n\n800 credits at ₹1,499/month\n\nTHE DAILY REALITY## Without FinToBooks / With FinToBooks\n\nThe same five hours, spent very differently.\n\n-   ✕Hours retyping bank entries into Tally by hand\n\n    ✓Statements converted and categorized in minutes\n\n-   ✕UPI narrations that mean nothing out of context\n\n    ✓Every UPI/NEFT/IMPS reference decoded into payee, mode, reference\n\n-   ✕No way to know whether you missed a transaction\n\n    ✓Every statement reconciled against its own closing balance\n\n-   ✕One client's rules bleeding into another's books\n\n    ✓Separate rules and books per client, always\n\n-   ✕Guessing whether a scanned statement was read correctly\n\n    ✓Told plainly which input type produced which result\n\nTHE PIPELINE · F1 → F18## Four steps. You approve the last one.\n\nEvery stage runs the same way for every statement. Nothing reaches Tally unapproved.\n\n1\n\nF1 · F2 · INGESTION### Drop the PDF — locked or not\n\nDrag and drop, browse, or forward it to your dedicated Client inbox. Password-protected e-statements are unlocked in memory and the password is discarded immediately.\n\n✓Up to 30 files per batch on Business✓Password used once, never logged✓File-size and daily-rate guardrails checked before processing\n\nPRE-FLIGHT CHECKS\n\nFile type · sizePDF · 4.2 MB ✓\n\nEncryptionUnlocked in memory ✓\n\nBatch / daily limit3 of 30 files ✓\n\n2\n\nF56 · F3 · F4 · PARSING### Bank and layout detected, then parsed properly\n\nWe match the statement against known bank markers and load that layout's parser profile — column positions, date format, balance-sign convention. No text layer? OCR takes over and says so.\n\n✓Multi-line narrations reassembled, not split✓Repeated page headers filtered out✓Cr/Dr suffix conventions handled per bank\n\nDETECTION RESULT\n\nBankHDFC Bank ✓\n\nLayout4-column net-banking\n\nInput typeNative text (1 credit/page)\n\n3\n\nF8 · F9 · F10 · TRUST### The maths is checked before you see anything\n\nEvery row is reconciled against the statement's own printed closing balance. Only then do rules run — client rules first, then firm rules, and AI strictly as a last resort, always labelled as such.\n\n✓Rules before AI, never the other way round✓Unmatched rows go to Suspense, never hidden✓Confidence recorded per transaction\n\nRECONCILIATION\n\nRows parsed412 of 412\n\nClosing balance delta₹0.00 ✓\n\nFlagged for review7 rows · Suspense\n\n4\n\nF36 · F15–F18 · OUTPUT### You approve. Then it posts.\n\nFlagged rows surface first so you fix the 7 that matter, not re-check all 412. Export to Excel, CSV, JSON or Tally XML — with ledger masters bundled so the import completes in one pass.\n\n✓Mandatory review before export, every tier✓Corrections become rules for next month✓Re-export any time without re-uploading\n\nEXPORT TARGETS\n\nTally XMLPayment / Receipt / Contra ✓\n\nExcel workbookMulti-sheet analysis ✓\n\nCSV · JSONIncluded, every tier ✓\n\nTHE PRODUCT ITSELF## You can always see what's verified, and what's still raw\n\nThese are the product's real components — not marketing illustrations.\n\nDATENARRATIONAMOUNT\n\n12 AugUPI/504812293841/PYTM/RAJKUMARTRD₹18,450\n\n12 AugNEFT-N082217-BOI-SUBCONTRACT₹42,000\n\n13 AugUPI/990182734/GPAY/UNKNOWN9821₹3,200\n\n14 AugIMPS/P2A/665521/RENT-AUG-2026₹55,000\n\n16 AugCHQ-RET-INSUFFICIENT-FUNDS₹12,000\n\n01 · REVIEW TABLE### Raw stays raw. Resolved looks resolved.\n\nBank narrations stay in monospace so source data never gets confused with processed output. Confidence is a quiet dot — hover a row for the exact figure. Suspense entries carry an amber left border you notice without reading a single label.\n\n✓Suspense rows carry an amber left border✓Exact confidence on hover, never on every row✓Card-per-transaction layout below tablet width\n\nProcessing…Skeletons mirror real content shape — never a bare spinner\n\n✓ VerifiedClosing balance matched to ₹0.00\n\nRequires reviewRows flagged, nothing hidden\n\nFailed — password decryptionNamed cause + retry, never \"something went wrong\"\n\n02 · RECONCILIATION### Every statement checks its own math\n\nBefore you see a single row, the statement is reconciled against its own printed closing balance. A misread table is caught immediately instead of silently accepted — and the badge tells you which of those two happened.\n\n✓Closing-balance check before you see anything✓Never gated — free tier included✓Failed states name the actual cause\n\nCREDIT BALANCE\n\n552 / 800 credits used~480 typical statements remaining\n\nNative-text PDF page1 credit\n\nScanned page (OCR)2 credits\n\nPhoto / screenshot page3 credits\n\n03 · CREDITS, TRANSLATED### A number nobody can misread\n\n\"12,400 credits\" means nothing on its own, so we never show it on its own. Every raw figure carries a plain-language translation, and expensive input types cost more credits because they genuinely cost more to process — stated up front, not discovered later.\n\nWHO IT'S FOR## Whoever closes the books, FinToBooks fits\n\nPick the one that sounds like you — we'll show the exact plan shape that fits.\n\n-   Solo CA & bookkeeper### A month of client statements before lunch\n\n    One login, five client books, rules that learn per client instead of bleeding into each other.\n\n    ✓5 separate client workspaces, isolated rules✓Credit card statements parsed natively✓Usage & credit-consumption analytics dashboard\n\n    The tier most solo practitioners stay on for years — you only move up when you hire.\n\n    Growth₹499/mo\n\n    Credits / month250 pages\n\n    Client workspacesUp to 5\n\n    Seats1\n\n    Retention15 days\n\n    [Start on Growth](https://fintobooks.com/pricing)\n-   CA firm & practice### Standardise every desk on one shared pool\n\n    Up to five staff logins drawing from one credit pool, each seeing only the clients you grant them.\n\n    ✓Unlimited client workspaces✓Members never see Billing or Team — absent, not greyed out✓Firm-wide shared rules + audit trail on corrections\n\n    Need another seat? It's a small monthly add-on, not a forced tier jump — see pricing for the exact figure.\n\n    Business₹1,499/mo\n\n    Credits / month800 pages\n\n    Client workspacesUnlimited\n\n    SeatsUp to 5\n\n    Retention15 days\n\n    [Start on Business](https://fintobooks.com/pricing)\n-   Business owner### Your own books, without learning accountancy\n\n    Plain-language everything. Export to Excel if you never touch Tally, or hand clean XML to your CA.\n\n    ✓Free tier covers occasional months✓Reconciliation and honest accuracy labels always included✓No card required to test on a real statement\n\n    Start free, upgrade only if your volume genuinely outgrows it.\n\n    Free → Growth₹0\n\n    Credits / month20 pages\n\n    Client workspaces1\n\n    Seats1\n\n    Retention7 days\n\n    [Convert one free](https://fintobooks.com/pricing)\n\nSECTOR-AWARE, NOT ONE-SIZE-FITS-ALL## Your client isn't \"a business.\" It's a construction firm, or a school.\n\nPick a sector to see what we're building for it — starting rule packs are being published one sector at a time.\n\nConstruction & Real EstateEducationIT & Software ServicesManufacturingHousing Society / RWARetailHealthcare\n\n### Construction & Real Estate\n\nSector-specific rule packs for construction & real estate are being built and published as real data lands — not filled in with placeholder categories in the meantime.\n\nIn progress\n\nEvery statement is still reconciled to the rupee and categorized by our general rules and AI fallback today, regardless of sector — the sector pack is what makes first-run categorization start useful instead of generic.\n\n[See the Construction & Real Estate page for updates →](https://fintobooks.com/solutions/construction)\n\n✦ Not tied to a fixed bank list## Verified accuracy, published per bank — never a blanket claim.\n\nFinToBooks reads the statement, not the logo. Verified banks below carry a measured accuracy figure from real golden-sample statements — and because the engine isn't tied to a fixed list, it also handles most other text-based statements. Reconciliation tells you whether it read yours correctly, either way.\n\nType to confirm your bank, or just drop your statement in.\n\n### HDFC BankGolden-sample verified 2026-08-15\n\n✓ Verified — 98.4%\n\nSupport status\n\nVerified profile\n\nField accuracy\n\n98.4%\n\nGolden samples tested\n\n42\n\nUsual PDF password\n\nDate of birth in DDMMYYYY format\n\n98.4% field-level accuracy across 42 real statements — published, not estimated.\n\n-   Multi-line narrations continue on the next row with no date — these are reassembled, not read as separate transactions\n-   Net-banking and mobile-app exports use different column orders for the same account\n-   A single amount column carries direction as a trailing Cr/Dr suffix rather than separate debit/credit columns\n\n[Convert a HDFC statement](https://fintobooks.com/banks/hdfc)\n\n✓HDFC Bank\n\nMore banks are added as we publish verified profiles — reconciliation checks every statement either way.\n\nGot an unusual statement that didn't read cleanly? [Read the FAQ for what to do next.](https://fintobooks.com/faq)\n\nTally PrimeTally ERP 9PDFExcelCSVJSON\n\nHONEST COMPARISON## Compared with generic cloud converters\n\nAgainst the category, not any specific product. Click a row for why it matters at your desk.\n\nFinToBooks7 / 7\n\nBuilt for Indian UPI + Tally from the first commit\n\nGeneric converters1 / 7\n\nGood at extraction, not at Indian books\n\nFinToBooksGeneric converters\n\nReconciled against closing balance✓Always, every tier✕Rarely\n\nIndian UPI / NEFT / IMPS decoding✓Native✕Generic or absent\n\nTally XML with ledger masters✓Included✕Usually absent\n\nRaw PDF retained after processing✓No — deleted✕Often, indefinitely\n\nAccuracy stated per input type✓Disclosed plainly✕One blanket claim\n\nMulti-client workspaces + seats✓Included on Business✕Often absent\n\nSector-specific starting rules✓Being published, sector by sector✕None found\n\nTRUST, BY ARCHITECTURE## Follow one statement through the system\n\nThis is the whole path a client's file takes — including where it stops existing.\n\n↑STAGE 01\n\n### The file arrives, and nothing else happens yet\n\nTransport is encrypted, the file is checked against your tier's size and batch guardrails, and it is queued — no parsing, no storage decisions taken yet.\n\nTLS in transitSize + batch checked firstQueued per Client, never mixed\n\n🔑STAGE 02\n\n### Password used once, in memory, then gone\n\nPassword-protected e-statements are decrypted in memory. The password is never written to a log, a database, or a support ticket — and attempts are rate-limited against brute force.\n\nNever persistedNever loggedAttempt-limited\n\n⚙STAGE 03\n\n### Structured data is created — and that's the source of truth\n\nThe statement becomes a compact structured record: transactions, counterparties, categories, confidence. Any file you export from it (Excel, Tally XML, etc.) is kept for 30 days so you can re-download it, then auto-deletes.\n\nRow-level security per WorkspaceExports auto-delete in 30 daysConfidence recorded per row\n\n✕STAGE 04\n\n### The original PDF stops existing\n\nOnce structured data is written and reconciled, the source PDF is deleted automatically. There is no archive of client statements to leak, subpoena, or breach — because we chose not to keep one.\n\nAutomatic, not a settingNo PDF archive existsNothing to export in a breach\n\n◷STAGE 05\n\n### You decide how long the structured data lives\n\n7 days on Free, 15 days on Growth, 15 days on Business — shortenable whenever you want, shown plainly in the app rather than buried in a policy.\n\nShortenable to 30 daysSupport access logged per lookRe-export before deletion\n\nSOCIAL PROOF, HONESTLY## We'd rather show you nothing than testimonials we wrote ourselves.\n\nReal quotes from real CAs will sit here once there are some worth showing. Until then the honest answer is to run it on your own statements and judge the reconciliation for yourself — it either matches the closing balance or it doesn't.\n\n[Try it on your own statement](https://fintobooks.com/banks/hdfc)\n\nFAQ## Questions a careful accountant asks first\n\n-   ### Will it work with my bank?+\n\n    Almost certainly. Verified banks have a published accuracy figure from our golden-sample suite; everything else runs through the generic parser, which reads most text-based statements. Either way the reconciliation tells you whether the result is trustworthy — you're never guessing.\n\n-   ### What happens if I go over my credits?+\n\n    Processing pauses and you're offered ₹199/month per +100 credits/month or an upgrade. Never a silent failure halfway through an upload.\n\n-   ### Is my clients' data safe?+\n\n    Statement passwords are used once, in memory, and never written to a log or database. Raw PDFs are deleted after processing — only structured transaction data is retained, for a retention window you control and can shorten to 30 days.\n\n-   ### How accurate is it on a scanned statement or a photo?+\n\n    Lower than on a native-text PDF, and we tell you which one produced your result rather than quoting a single blanket accuracy number. Scans cost 2 credits/page and photos 3, because that's what they genuinely cost to process reliably.\n\n-   ### How do I import into Tally?+\n\n    Gateway of Tally → Import Data → XML. Vouchers arrive pre-classified as Payment, Receipt or Contra, and any ledger missing from your company is included as a master-creation entry in the same file, so the import completes in one pass.\n\n-   ### Can I cancel anytime?+\n\n    Yes. Your plan stays active to the end of the current billing period, and the grace-period behaviour is explained plainly at the point of cancellation, not buried in terms.\n\n## Stop entering transactions. Start reviewing them.\n\nDrop in a statement and see it reconciled before your chai gets cold. No signup for the first one.\n\n[Convert your first statement free](https://fintobooks.com/convert)[See pricing](https://fintobooks.com/#pricing)\n\nWe use analytics cookies to understand how FinToBooks is used and improve the product. No statement contents, account numbers, or transaction data are ever included. See our [Privacy Policy](https://fintobooks.com/privacy).\n\nDeclineAccept\n",
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  "llmsTxtPreview": "# fintobooks.com\n\n> Convert bank statement PDFs, UPI transactions, credit-card statements, receipts, bills and invoices into reconciled, categorized, Tally-ready accounting data. Built for Indian CAs and CA firms.\n\n## Documentation\n- [FAQ](https://fintobooks.com/faq)\n\n## Main\n- [FinToBooks — Bank Statements to Tally, Reconciled](https://fintobooks.com): Convert bank statement PDFs, UPI transactions, credit-card statements, receipts, bills and invoices into reconciled, ca…\n- [Features](https://fintobooks.com/features)\n- [Pricing](https://fintobooks.com/pricing)\n- [Chartered Accountants](https://fintobooks.com/solutions/chartered-accountants)\n- [Accounting Firms](https://fintobooks.com/solutions/accounting-firms)\n- [About](https://fintobooks.com/about)\n- [FinToBooks](https://fintobooks.com/)\n- [Why Us](https://fintobooks.com/why-us)\n- [Security](https://fintobooks.com/security)\n- [Sign in](https://fintobooks.com/login)\n- [Convert a statement free](https://fintobooks.com/convert)\n- [How it works](https://fintobooks.com/how-it-works)\n- [HDFC → Tally](https://fintobooks.com/banks/hdfc)\n- [Bank Statement to Tally](https://fintobooks.com/bank-statement-to-tally)\n\n## Blog\n- [Blog](https://fintobooks.com/blog)\n\n## Legal\n- [Privacy Policy](https://fintobooks.com/privacy)\n- [Terms](https://fintobooks.com/terms)\n- [Refund Policy](https://fintobooks.com/refund)\n\n## Support\n- [FAQ](https://fintobooks.com/faq)\n- [Contact](https://fintobooks.com/contact)\n\n",
  "llmsTxtExisting": "# FinToBooks\n\n> Convert bank statements, UPI transactions, credit-card statements, receipts, bills and invoices into reconciled, categorized, Tally-ready accounting data — built for Indian CAs and CA firms.\n\nFinToBooks is an India-first financial document automation SaaS. It converts bank statement PDFs, UPI transaction records, credit-card statements, and receipts into reconciled, categorized, Tally-ready accounting data. Every statement is checked against its own printed closing balance (Opening + Credits - Debits = Closing) before vouchers are generated. Built specifically for Chartered Accountants (CAs), CA firms, bookkeepers, and Indian businesses using Tally Prime, Tally ERP 9, Excel, or QuickBooks.\n\nFor full technical documentation, parser profiles, and reconciliation rules: [Full AI Context Document](https://fintobooks.com/llms-full.txt)\n\n## Core Tools & Capabilities\n\n- [Convert a Statement Free](https://fintobooks.com/convert): Free, instant bank statement conversion tool with auto bank detection, UPI narration decoding, and balance reconciliation — no signup required.\n- [Bank Statement to Tally](https://fintobooks.com/bank-statement-to-tally): Direct Tally Prime & Tally.ERP 9 XML voucher conversion with auto-bundled ledger creation masters.\n- [Bank Statement to Excel](https://fintobooks.com/bank-statement-to-excel): Convert Indian bank statements to structured 3-sheet Excel workbooks with verified numeric columns.\n- [Bank Statement to Tally XML](https://fintobooks.com/bank-statement-to-tally-xml): Complete technical XML envelope guide, schema compliance, and voucher definitions.\n- [Automated Bank Reconciliation](https://fintobooks.com/bank-reconciliation): Mathematical balance verification (Opening + Credits - Debits = Closing) with rupee-level audit proofing.\n- [Bank Statement OCR](https://fintobooks.com/bank-statement-ocr): Optical character recognition for scanned statements and mobile photos with deskewing and balance checks.\n- [UPI Statement Converter](https://fintobooks.com/upi-statement-converter): Convert PhonePe, Google Pay, and Paytm statement records into clean accounting entries.\n- [UPI Narration Decoder](https://fintobooks.com/upi-narration-decoder): Decompose complex UPI strings into 12-digit NPCI RRNs, VPA handles, and counterparty names.\n- [UPI to Tally Prime](https://fintobooks.com/upi-to-tally): Bulk import high-frequency UPI transactions into Tally without ledger bloat.\n- [Credit Card Statement Converter](https://fintobooks.com/credit-card-statement-converter): Parse corporate and personal card statements, separating spends, fees, and 18% GST.\n- [Supported Banks & Parser Accuracy](https://fintobooks.com/banks): Verified Indian bank parsers (HDFC, ICICI, SBI, Axis, Kotak, BOB, PNB, Yes Bank, IDFC, cooperative banks) with real measured field accuracy.\n- [Features Overview](https://fintobooks.com/features): Detailed breakdown of all 13 capability domains including multi-client CA workspaces, rules engine, and audit trails.\n- [How It Works](https://fintobooks.com/how-it-works): The complete 6-stage pipeline from statement upload, layout detection, narration extraction, rules-based categorization, to Tally XML export.\n- [Subscription Pricing & Plans](https://fintobooks.com/pricing): Transparent pricing tiers (Free with 20 credits, Growth at ₹499/mo, Business at ₹1,499/mo, Custom) with fair per-page credit weighting.\n\n## Persona Solutions & Comparisons\n\n- [Solutions for Chartered Accountants](https://fintobooks.com/solutions/chartered-accountants): Audit season automation, multi-client management, and DPDP-compliant data handling.\n- [Solutions for Accounting Firms & BPOs](https://fintobooks.com/solutions/accounting-firms): Scaling firm bookkeeping with isolated workspaces and low per-page compute economics on the Business plan.\n- [Compare Alternatives Hub](https://fintobooks.com/compare): Feature-by-feature comparison against Greenote, Suvit, and DocuClipper.\n- [FinToBooks vs Greenote](https://fintobooks.com/compare/greenote): Detailed comparison on mathematical reconciliation, single-pass Tally XML, and pricing.\n- [FinToBooks vs Suvit](https://fintobooks.com/compare/suvit): Browser-based zero-install cloud architecture vs desktop connector sync.\n- [FinToBooks vs DocuClipper](https://fintobooks.com/compare/docuclipper): India-first banking intelligence and INR pricing vs global USD OCR.\n\n## Knowledge Base & Glossary\n\n- [Accounting & Banking Glossary](https://fintobooks.com/glossary): Concise definitions for UTR numbers, UPI RRN, Tally XML format, BRS, Contra vouchers, and transaction narrations.\n- [Accounting Guides & Blog](https://fintobooks.com/blog): Authoritative technical guides on Indian banking formats, Tally XML import mechanics, GSTIN structure decoding, and sector bookkeeping.\n- [Industry Solutions](https://fintobooks.com/solutions): Sector-specific accounting defaults for Construction, Education, IT/Software, Manufacturing, and Housing Societies.\n- [Trust & Security Architecture](https://fintobooks.com/security): India DPDP Act conscious architecture: in-memory decryption, raw PDF auto-deletion post-processing, and multi-client data isolation.\n- [Why FinToBooks vs Alternatives](https://fintobooks.com/why-us): Why FinToBooks differs: deterministic rules first, visible reconciliation badge, and multi-client firm structure.\n- [Frequently Asked Questions](https://fintobooks.com/faq): Authoritative answers across 6 categories: Getting Started, Accuracy & Trust, Security & Data, Pricing & Billing, Team & Multi-Client, Exports & Tally Import.\n- [About FinToBooks](https://fintobooks.com/about): Founded in India by accounting practitioners and engineers to eliminate manual data entry in Tally.\n- [Contact & Support](https://fintobooks.com/contact): Direct support for CA firms, enterprise integrations, and new bank layout requests.",
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    "bot": "OAI-SearchBot",
    "controlStatus": 200,
    "botStatus": 200,
    "discriminates": false,
    "refusedAsBot": false,
    "edge": "Cloudflare",
    "verifiable": false,
    "detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
  },
  "snippets": [
    {
      "id": "add_open_graph",
      "title": "Add missing Open Graph tags",
      "description": "Open Graph tags control how your page looks when shared on social media and how AI platforms preview your URL in answers.",
      "language": "html",
      "code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://fintobooks.com\">\n<meta property=\"og:type\" content=\"website\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://fintobooks.com\">\n<meta property=\"og:type\" content=\"website\">"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Quick Open Graph tags without a plugin (skip if Yoast / Rank Math is active)\nadd_action('wp_head', function () {\n    if (!is_singular()) return;\n    $post = get_queried_object();\n    $title = get_the_title($post);\n    $desc  = get_the_excerpt($post) ?: wp_trim_words(strip_tags($post->post_content), 30);\n    $image = get_the_post_thumbnail_url($post, 'large') ?: 'https://yoursite.com/og-image.jpg';\n    $url   = get_permalink($post);\n    printf('<meta property=\"og:title\" content=\"%s\">' . \"\\n\", esc_attr($title));\n    printf('<meta property=\"og:description\" content=\"%s\">' . \"\\n\", esc_attr($desc));\n    printf('<meta property=\"og:image\" content=\"%s\">' . \"\\n\", esc_url($image));\n    printf('<meta property=\"og:url\" content=\"%s\">' . \"\\n\", esc_url($url));\n    echo '<meta property=\"og:type\" content=\"article\">' . \"\\n\";\n}, 5);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page.tsx",
          "code": "// Next.js App Router — Metadata API\nimport type { Metadata } from 'next';\n\nexport const metadata: Metadata = {\n  title: \"FinToBooks — Bank Statements to Tally, Reconciled\",\n  description: \"Convert Indian bank statements, UPI transactions, and credit cards into reconciled, categorized Tally XML & Excel in minutes.\",\n  openGraph: {\n    title: \"FinToBooks — Bank Statements to Tally, Reconciled\",\n    description: \"Convert Indian bank statements, UPI transactions, and credit cards into reconciled, categorized Tally XML & Excel in minutes.\",\n    url: \"https://fintobooks.com\",\n    images: [\"https://yoursite.com/og-image.jpg\"],\n    type: 'website',\n  },\n};"
        }
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    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
      "language": "html",
      "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        },
        {
          "id": "express",
          "label": "Express",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n  res.setHeader('Vary', 'Accept');\n  res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    res.type('text/markdown; charset=utf-8');\n    return res.send(renderMarkdown('page'));\n  }\n  res.render('page');\n});"
        },
        {
          "id": "fastify",
          "label": "Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n  reply.header('Vary', 'Accept');\n  reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n  }\n  return reply.view('/page.ejs');\n});"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page/route.ts",
          "code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n  const accept = req.headers.get('accept') || '';\n  if (accept.includes('text/markdown')) {\n    return new Response(await renderMarkdown('page'), {\n      headers: {\n        'Content-Type': 'text/markdown; charset=utf-8',\n        'Vary': 'Accept',\n      },\n    });\n  }\n  // Fall through to the page component\n  return new Response(null, { status: 404 });\n}"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n    if (!is_singular()) return;\n    $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n    if (strpos($accept, 'text/markdown') === false) return;\n    header('Content-Type: text/markdown; charset=utf-8');\n    header('Vary: Accept');\n    $post = get_queried_object();\n    echo \"# \" . get_the_title($post) . \"\\n\\n\";\n    echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n    exit;\n});"
        },
        {
          "id": "static",
          "label": "Hugo / Jekyll / Astro",
          "language": "txt",
          "filename": "static/page.md",
          "code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n#   <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        }
      ]
    }
  ]
}

APIを使用してプログラムで取得できます（近日公開）