DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
FlexiCapture
Parsio.io
easybits
Nanonets
Mindee
Parseur.com
Docsumo
Microsoft Azure
Abby.gg
Rossum
easybits Extractor is a verified community node for n8n that extracts structured data from any unstructured document. Point it at PDFs, images, scans, invoices, receipts or contracts, describe the fields you need in plain language at extractor.easybits.tech, and get clean, branchable JSON back.
Two engines cover every case: a General engine (Gemini) for broad understanding and a Specialized OCR-optimized engine (Mistral) for dense scans.
The free plan covers 10 fields per workflow and 50 API requests/month โ enough to build and ship a real workflow.
DocParser easybitseasybits's answer:
n8n users and automation builders โ ops, finance, and no-code teams who need to turn documents (invoices, receipts, contracts, forms) into structured data inside their existing workflows. It's especially useful for SMBs and agencies automating document-heavy processes without a dedicated ML team.
easybits's answer:
easybits Extractor is a verified n8n community node, so document extraction lives natively inside your workflow instead of behind a separate API you have to stitch in. You describe the fields you need in plain language at extractor.easybits.tech โ no prompt engineering, no training data โ and get clean, structured JSON back. Two engines cover every document: a General engine (Gemini) for broad understanding and a Specialized, OCR-optimized engine (Mistral) for dense scans.
easybits's answer:
Most extraction tools are standalone platforms you have to integrate. easybits is built for n8n from day one, so it drops straight into the automations you already run โ accounts payable, onboarding, CRM enrichment. It's fast to set up (define fields in plain language, no model training, no complex tech setups), returns structured output you can branch on directly, and has a genuinely usable free plan โ 10 fields per pipeline and 50 API requests/month โ so you can build and ship a real workflow before paying anything.
easybits's answer:
easybits is built by easybits GmbH in Berlin. We kept hitting the same wall in n8n projects โ getting clean data out of messy documents meant brittle prompts or heavyweight external tools. So we built the extractor we wanted: a native, verified n8n node that just returns structured data. From builders for builders.
easybits's answer:
Built as a native n8n community node (TypeScript/Node.js). Extraction is powered by two model engines โ Google Gemini (General) and Mistral (Specialized/OCR).
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
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