ParseForMe turns documents into clean spreadsheet data โ without the setup project.
Upload a PDF, scan or phone photo. Each file is classified on arrival and read against an extraction schema built for that document type, so there are no parsing rules to draw and no templates to maintain. Review the fields, export to your own spreadsheet layout.
Bank and credit card statements, invoices, receipts, purchase orders, shipping and delivery notes, resumes, payslips and utility statements. Built for bookkeepers, recruiters, logistics and small teams doing this by hand today.
Every upload is sanitised and regenerated at ingest, and the original file is deleted seconds later. Workspaces are isolated at the database level, not by an application filter. Retention is configurable, and you can erase a workspace and everything in it on demand. Hosted in the EU.
$19 for 500 pages/month, $59 for 2,500, $199 for 10,000. 30 pages free on signup โ no credit card.
A startup from Islamabad, Pakistan that is founded by Hamza Awan,Laiba Hashmi.
Field-level confidence
Every extracted value carries its own score. Anything uncertain is flagged for review instead of passing silently into your spreadsheet.
Custom column mapping
Map your own spreadsheet columns to the extracted fields once. Every future document of that type lands in that exact layout.
Automatic type detection
No parser to choose. Each file is classified on arrival and read against the extraction schema built for that document type.
Side-by-side review
The source page sits beside the extracted fields, so you check a value against the document it came from without switching windows.
Bulk folder upload
Drop a whole folder at once โ PDFs, scans and phone photos together. The batch is tracked as one job you can watch finish.
Export formats
CSV, Excel (XLSX), JSON and Google Sheets, in your own column layout.
Automatic file cleaning
Every upload is sanitised and regenerated at ingest, and the original file is deleted seconds later.
Retention controls
Set how long parsed documents are kept before they purge themselves, or erase a workspace and everything in it on demand.
Workspace data isolation
Each workspace is walled off at the database level, not by a filter the application has to remember to apply.
Document types
Bank and credit card statements, invoices, receipts, purchase orders, delivery notes, resumes, payslips, utility statements.
Pricing unit
Billed per page, not per document โ a 12-page statement costs 12 pages, not 12 documents.
Three things. Every extracted field carries its own confidence score, so uncertain values are flagged for review instead of passing silently into your spreadsheet โ you fix the three that matter rather than re-checking all forty. Exports land in your column layout, not ours, so there's no remapping step after the parse. And there's nothing to configure: each file is classified on arrival and read against a schema built for that document type, so the first upload returns fields with no setup at all.
Price structure, mainly. Entry is $19 for 500 pages where the market entry is $39 for 100, and it's billed per page rather than per document โ a 30-page bank statement isn't priced the same as a one-page receipt. No setup fee, no sales call, no annual lock-in to reach the advertised price.
The category has split into two shapes: cheap-but-you-build-the-parsing-rules (Docparser, Parseur), and it-just-works-but-call-sales (Nanonets, Docsumo, Klippa). Neither serves someone who wants zero setup at a self-serve price under $30. That's the gap ParseForMe is built for.
Next.js 15 and React on the front end; a NestJS/TypeScript API; an isolated Python 3.12 worker for document processing, orchestrated with Hatchet.
Small teams doing document data entry by hand who don't have an IDP budget or an implementation project in them: bookkeepers and accounting practices, recruiters processing CVs, and small businesses and freelancers handling their own invoices and receipts. Also logistics, retail and e-commerce, and property and lettings, where the documents are routine but the volume is real. The common thread is a handful of people, recurring documents, and a specific spreadsheet the data has to end up in.
ParseForMe is a product of AutonomyXAI. It started from a specific observation about the document-parsing market: the affordable tools make you build and maintain the parsing rules yourself, and the ones that genuinely work out of the box are enterprise sales processes with setup fees. Anyone with a few hundred pages a month and no implementation budget falls between them and keeps typing.
The design follows from that: a purpose-built schema per document type so there's nothing to configure, per-page pricing so light users aren't punished, and confidence scores on every field โ because if a tool is cheap and needs no setup, the fair next question is how you know it got it right.
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