Conga Document Generation VS ParseForMe

ParseForMe turns documents into clean spreadsheet data — 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.

How it's different

Every field is confidence-scored. Uncertain values are flagged for review instead of passing silently into your spreadsheet. You correct the three that need it, not re-check all forty.
Exports in your column format — CSV, Excel, JSON or Google Sheets. Map your columns once, and every future document of that type lands in that exact layout. No remapping step after the parse.
Zero setup. Most affordable tools in this category make you build and maintain the parsing rules yourself; the ones that work out of the box are enterprise sales processes with setup fees. The first upload here returns fields with no configuration.
Billed per page, not per document. A 30-page bank statement isn't priced like a one-page receipt — and isn't a 30× penalty either.

Documents

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.

Privacy

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.

Pricing

$19 for 500 pages/month, $59 for 2,500, $199 for 10,000. 30 pages free on signup — no credit card.

Questions & Answers

As answered by people managing Conga Document Generation and ParseForMe.

What makes your product unique?

ParseForMe's answer:

Three things. Every extracted field carries its own confidence score, so uncertain values are flagged for review instead of passing silently into your spreadsheet — 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.

Why should a person choose your product over its competitors?

ParseForMe's answer:

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 — 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.

Which are the primary technologies used for building your product?

ParseForMe's answer:

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.

How would you describe the primary audience of your product?

ParseForMe's answer:

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.

What's the story behind your product?

ParseForMe's answer:

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 — because if a tool is cheap and needs no setup, the fair next question is how you know it got it right.

What are some alternatives?

When comparing Conga Document Generation and ParseForMe, you can also consider the following products

PandaDoc - Boost your revenue with PandaDoc. A document automation tool that delivers higher close rates and shorter sales cycles. We've helped over 30,000+ companies.

DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

Google Docs - Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

Conga Contracts - Conga Contracts is management solution designed to accelerate and simplify contract negotiations in Salesforce.

Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.

Compare Conga Document Generation VS ParseForMe and see what are their differences