ParseForMe
Nanonets
Parseur.com
DocuClipper
Klippa
Docsumo
Export PDF to EXCEL
Parseflow.tech
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
FlexiCapture
Parsio.io
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.
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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 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.
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 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.
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.
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.
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 โ because if a tool is cheap and needs no setup, the fair next question is how you know it got it right.
Based on our record, DocParser seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: about 3 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 3 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 3 years ago
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
DocuClipper - Automate data extraction from bank statements, invoices, tax forms and more.
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.
Klippa - Invoice and receipt processing for retail businesses
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
