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Client document intake answers.
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- 01 What is messy document intake? Messy document intake is receiving receipts, invoices, bills, statements, screenshots, scans, and bundled PDFs from clients, then turning them into bookkeeping-ready records. Read full answer →
- 02 Can untxt. split multiple invoices from one PDF? Yes. untxt. auto-detects document boundaries, auto-groups related pages, auto-classifies each document, and extracts each record separately. Read full answer →
- 03 Can untxt. process blurry receipt photos? Yes, if the readable fields are clear enough. untxt. extracts what it can and flags low-confidence values for review. Read full answer →
- 04 Can untxt. classify receipts and invoices automatically? Yes. untxt. can classify bookkeeping documents by document type before extracting the fields that matter. Read full answer →
- 05 Can untxt. extract line items from invoices? Yes. untxt. can extract invoice line items when the invoice layout and scan quality make the rows readable. Read full answer →
- 06 Can untxt. map receipts and invoices to a chart of accounts? Yes. untxt. can prepare reviewable chart-of-accounts mappings for receipts and invoices using vendor, document type, line items, tax, and context. Read full answer →
- 07 Can untxt. detect duplicate invoices? Yes. untxt. can flag likely duplicate invoices by comparing invoice numbers, vendors, dates, totals, and document fingerprints. Read full answer →
- 08 Can untxt. process bank statements and receipts together? Yes. untxt. can process mixed batches that include bank statements, receipts, invoices, and related bookkeeping documents. Read full answer →
- 09 Can untxt. prepare bookkeeping data for QuickBooks and Xero? Yes. untxt. prepares structured bookkeeping data that can be reviewed before it is used in QuickBooks or Xero workflows. Read full answer →
- 10 Can untxt. export invoice data as CSV, JSON, or TXT? Yes. untxt. can prepare extracted invoice data as structured CSV, JSON, or TXT output for review and downstream workflows. Read full answer →
- 11 What happens when untxt. is unsure about a receipt? untxt. flags uncertain fields for human review instead of silently posting bad data into the books. Read full answer →
- 12 Should untxt. auto-post bookkeeping entries? Not by default. The intake layer should prepare entries for review and only auto-post when rules, confidence, and client context support it. Read full answer →
- 13 How accurate is untxt. receipt extraction? Accuracy depends on input quality, document layout, field type, and whether the workflow flags uncertainty instead of hiding it. Read full answer →
- 14 What is document classification in bookkeeping? Document classification is deciding what type of bookkeeping document a file is before extracting data from it. Read full answer →
- 15 What is invoice field extraction? Invoice field extraction pulls structured fields like vendor, invoice number, date, due date, tax, total, and line items from an invoice. Read full answer →
- 16 Can untxt. sort mixed bookkeeping documents automatically? Yes. untxt. can auto-sort mixed bookkeeping documents by auto-classifying document type, auto-grouping related pages, and preparing each record for review. Read full answer →
- 17 Can OCR detect where one invoice ends and another begins? OCR alone usually cannot do this reliably. The AI layer has to grasp document context, page boundaries, layout, and document type. Read full answer →
- 18 Can untxt. tell the difference between an invoice, receipt, credit note, and bank statement? Yes. untxt. can classify common bookkeeping document types and route each type through the right extraction path. Read full answer →
- 19 OCR vs untxt. document intake: what is the difference? OCR reads text from documents. untxt. uses context to turn messy bookkeeping documents into classified, extracted, reviewable accounting data. Read full answer →