
DocParser
TurboScanner HD
Nanonets
IBM Datacap
Quick Scan
Rossum
Docus
Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.

Mindee
Verify
DocParser
Nanonets
Rossum
AI-powered receipt and invoice parsing API. Turn PDFs, scans and phone photos into clean JSON. Up to 10 pages per document for one price, plus a spend dashboard. Free plan with full API access, no credit card.

Which is more popular?
Based on our record, Amazon Textract seems to be more popular. It has been mentioned 39 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | aws.amazon.com | docuparseapi.com |
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In their own words, as submitted to SaaSHub.


No description of Amazon Textract yet.
DocuParse API turns receipts and invoices into clean, structured JSON. Send a PDF, scan, phone photo or CSV to one endpoint and get back named fields: vendor, invoice or receipt number, date, due date, currency, subtotal, tax, discount, shipping, total and line items. No templates to set up and...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
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Amazon Textract: First Look
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Amazon Textract and DocuParse API.
DocuParse API's answer:
DocuParse API is billed per document, and every document includes up to 10 pages. A 10-page invoice costs the same as a one-page receipt, while per-page APIs bill it as 10 pages. Every document gets the same two-step treatment on every plan: rule-based parsing reads every field, then an AI model checks the result and corrects what it finds wrong. The result is clean JSON with the same fields for every layout, plus a confidence score and a needs_review flag, so you know when to double-check. There are no templates to set up, no models to train and no minimum commitment.
DocuParse API's answer:
Mainly price and simplicity. Starter is $11.99 for 1,000 documents and Pro is $49.99 for 5,000, each document up to 10 pages. At 1,000 to 5,000 ten-page invoices a month, that’s 6 to 10 times less than AWS Textract or Google Document AI. There’s no $500 monthly minimum like Veryfi and no annual contract like Mindee, and unlike Docparser you don’t build parsing rules for each layout. The free plan gives 20 documents a month with full API access and no credit card. A spend dashboard and PDF, CSV and JSON exports are included on every plan. To be fair: for single-page documents under 5,000 a month, AWS Textract costs less.
DocuParse API's answer:
Developers and small SaaS teams adding receipt or invoice upload to their product; bookkeepers, agencies and freelancers turning clients’ receipts into spreadsheets and accounting entries; finance teams processing thousands of documents a month; and no-code builders who connect DocuParse API to n8n, Make, Zapier, QuickBooks, Xero or Notion.
DocuParse API's answer:
DocuParse API was built by a solo founder, Othmane M., who wanted a simple way to turn piles of receipts and invoices into data without per-page bills, sales calls or template setup. He tested it field by field against 500+ real receipts and invoices before publishing a 97% field-level accuracy figure. The pricing was built around the documents people actually have, so a 10-page invoice is one document. The product today is one API endpoint, a spend dashboard and a free plan anyone can start with.
DocuParse API's answer:
Next.js, React, TypeScript and Tailwind CSS for the website and API, hosted on Vercel; Supabase (PostgreSQL, authentication and file storage); a Node.js extraction worker on Railway using Tesseract OCR and PDF text extraction, a rule-based parser, and an AI model that reviews every document; Lemon Squeezy for payments.
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External articles and on-site reviews we used to compare the two products.


Pricing: Amazon Rekognition, Amazon Textract, Google, Microsoft. We don't really care which one you use, but Microsoft did best by our sample data. Textract was a very close second if you only need its headline...
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Recommendations tracked on public social media and blogs since March 2021.


Machine learning reading sample documents. Only Write of Access did this. My code sent redacted sample forms to Amazon Textract, an AWS machine learning service that reads printed and handwritten text from scanned documents. Textract... - Source: dev.to / 19 days ago
Production-grade solutions leverage AWS AI/ML services to complement Amazon Bedrock. Amazon Comprehend provides natural language processing capabilities. Amazon Rekognition captures frames from videos for visual analysis. Amazon Bedrock... - Source: dev.to / 7 months ago
We were a little concerned that working with documents and Bedrock was going to mean a bunch of effort by using Texttract. I was glad we were proven wrong. I was able to build a quick proof of concept using the Bedrock API in 10 - 15... - Source: dev.to / almost 2 years ago
Tracking DocuParse API since Oct 2026.
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