Data entry automation software — for the data that arrives as documents
Data entry automation software reads the documents your business already receives — invoices, bank statements, receipts, resumes — and returns their contents as structured fields and rows, so nobody types them in. ParseForMe does that without per-supplier templates or parsing rules: upload a document, check what it flagged, export into your own spreadsheet layout.
What data entry automation actually means
Three unrelated product categories share the name. Manual entry tools — spreadsheets and form builders — make human typing structured and validated. RPA drives another application’s screens on your behalf. Document capture and parsing reads the file itself with OCR and a schema, so nothing is typed at all. ParseForMe is the third.
They are not interchangeable, and almost every "best data entry software" list mixes them, which is why those lists are hard to act on. The question that separates them is where the data lives before anyone types it: in someone’s head, on a screen in a system with no API, or in a document. Most data-entry work in finance and recruitment is the third case — which is why teams who try a form builder first conclude the whole category is useless.
Which documents ParseForMe automates the data entry for
Bank and credit card statements, invoices, receipts, purchase orders, shipping and delivery notes, resumes, payslips and utility bills — plus a general type for anything that fits none of those. Each returns the fixed field set its extraction schema defines, not a free-text summary you would have to re-read.
Documents with line items come back as rows, not paragraphs: every transaction on a statement, every line on an invoice, every item on a packing list is its own row with its own columns. That is the difference between data you can reconcile and text you have to retype.
How the automation runs, end to end
Upload one document or a whole folder. ParseForMe detects the type per file, extracts every field in that type’s schema, and scores each value it is unsure about. You review what it flagged, correct anything wrong, then export — CSV, XLSX, JSON, Google Sheets, or straight into your own spreadsheet template.
- No zone-marking, no parsing rules and no template per supplier — a layout it has never seen is parsed the same way as one it has.
- Batch a mixed folder rather than sorting it first; the type is detected per file.
- Map your own spreadsheet’s columns once and every future export lands in that exact layout, formulas and styling intact.
- Bank statements also export as QuickBooks-compatible OFX, which Xero’s manual import accepts too.
What you still do by hand — and where this does not pay
You review. Extraction is probabilistic, so ParseForMe scores each field rather than claiming a headline accuracy figure, and a person confirms anything uncertain before it leaves. Automation also does not pay at very low volume, or where the hard part is judgement rather than transcription.
And where a structured source already exists, take it: if a supplier can email a CSV, or your bank offers a live feed into your accounting software, that beats parsing a PDF of the same data every time. We would rather say so than sell you a parse you do not need. What this software removes is the typing, not the checking.
What data entry automation costs here
One token per parsed page, drawn from a balance you top up — not a per-seat licence and not a per-bot fee. A one-page receipt costs one token; a twelve-page statement costs twelve. New accounts start with 30 free tokens and no card.
Pricing shape matters more than the sticker price in this category. Per seat punishes adding the colleague who would actually use it, per bot punishes automating a second process, and per page charges for the work done. Only one of the three tracks what you got.
Start from a ready-made template
Download the matching spreadsheet template, then upload it as your export format — your parsed data fills the columns exactly where you want them, every time.
Get the free templateFrequently asked questions
What is data entry automation software?
Software that captures data without a person typing it. In the document sense — the one this page is about — it reads a file such as an invoice, statement or resume with OCR and an extraction schema, returns the values as structured fields and rows, and hands them to a spreadsheet or accounting system. The two other things sold under the same name are form and spreadsheet tools, which structure human typing, and RPA, which clicks through other applications for you.
Is data entry automation the same as RPA?
No. RPA automates the act of using another application — it moves the mouse and fills the fields on a screen, and it needs that screen to stay where it was. Document parsing automates reading the source instead, so there is no interface to break. If your data is trapped in a system with no API, RPA is the right tool; if it arrives as PDFs, scans or emailed attachments, parsing is.
Do I need to set up a template for every supplier or layout?
No. There is no zone-marking step and no per-supplier rule set. ParseForMe extracts against the schema for the document type, so an invoice layout it has never seen is handled the same way as a familiar one. The only mapping you do is at the other end — telling it which of your spreadsheet’s columns each field belongs in, once.
How accurate is automated data entry?
ParseForMe publishes no single accuracy percentage, because one number across every layout, scan quality and document type would not be an honest one. What it gives instead is a confidence score on each extracted field, so review time goes to the handful of values that need it rather than to re-reading the whole document. Treat a headline accuracy claim from any vendor in this category with suspicion.
Can the extracted data go straight into my existing spreadsheet?
Yes. Upload the .xlsx you already use as the export format and map each field to a column once; every export after that fills that exact layout, preserving your styles, formulas and merged cells. You can also export a plain CSV, XLSX or JSON file, push to Google Sheets, or download QuickBooks-compatible OFX for bank statements.
When is data entry automation not worth buying?
When the volume is small enough that setup and review cost more time than typing would. When the difficulty is deciding what the data means rather than transcribing it. And when a structured source already exists — a supplier who can send a CSV, or a bank with a live feed — because a feed beats parsing a PDF of the same figures every time.
Try it on your own document
Drop a document to see the structured data come back.