AutoForm vs StructOCR: Which is Better in 2026?
A comprehensive comparison of AutoForm and StructOCR covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose AutoForm if:
- →You need extracts fields from pdfs, spreadsheets, emails, decks and web pages or cleans and labels extracted data with natural-language instructions
Choose StructOCR if:
- →You want more affordable paid plans (from $0.01/mo)
- →You need purpose-built models per document type rather than generic ocr or typed json output with named fields, not raw recognised text
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AutoForm vs StructOCR: At a Glance
Pricing Comparison: AutoForm vs StructOCR
Understanding the pricing differences between AutoForm and StructOCR is crucial for making the right choice. Here's how their plans compare side by side.
AutoForm Pricing
StructOCR Pricing
💡 Pricing takeaway: Both AutoForm and StructOCR offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from AutoForm and StructOCR stacks up.
What Makes Each Tool Unique
🔵 Unique to AutoForm
Features available in AutoForm but not in StructOCR:
- ✓Extracts fields from PDFs, spreadsheets, emails, decks and web pages
- ✓Cleans and labels extracted data with natural-language instructions
- ✓Autofills destination forms rather than only exporting structured data
- ✓Chrome extension plus local Windows and macOS execution
- ✓Published flows for accounting, ERP, CRM, ATS and legal case systems
- ✓No-code setup
🟣 Unique to StructOCR
Features available in StructOCR but not in AutoForm:
- ✓Purpose-built models per document type rather than generic OCR
- ✓Typed JSON output with named fields, not raw recognised text
- ✓Coverage across 193+ countries and territories and 100+ languages
- ✓Sub-four-second average response for real-time verification
- ✓Credit pricing that reflects extraction difficulty per document class
- ✓200 free credits on signup with no card, and credits that never expire
Use Case Recommendations
Best for: AutoForm
AutoForm is a data-entry agent that targets the copy-and-paste layer between documents and the systems that need their contents. You upload a file of almost any kind — PDFs, spreadsheets, emails, slide decks or web pages — and it captures every field, then cleans and labels the extracted data using natural-language instructions rather than a schema you have to define up front. The output can be downloaded, interacted with directly, pushed into another application, or used to autofill a form in a browser, which is the part that distinguishes it from a pure extraction API: it will drive the destination form rather than just handing you structured JSON to paste. It ships as a Chrome extension and also runs locally on Windows and macOS. The published use cases are all shaped around a document-to-system handoff that currently costs somebody an afternoon: customer onboarding documents into an application or website, invoice data into accounting software, supplier RFQ and purchase-order updates into an ERP, subpoenas and court orders into Clio, transcripts into Ellucian for application review, resumes into Greenhouse, lead documents into a CRM, real-estate paperwork, insurance claims, and bills of materials across engineering and manufacturing. The product is currently gated behind a waitlist rather than open signup, so it is early.
Ideal use cases:
- •Teams or individuals who need extracts fields from pdfs, spreadsheets, emails, decks and web pages
- •Teams or individuals who need cleans and labels extracted data with natural-language instructions
- •Teams or individuals who need autofills destination forms rather than only exporting structured data
- •Teams or individuals who need chrome extension plus local windows and macos execution
- •Anyone focused on data-entry workflows
- •Anyone focused on document-processing workflows
Best for: StructOCR
StructOCR is a document-parsing API aimed at three specific workflows — KYC and identity verification, accounts payable, and global logistics — rather than at general-purpose OCR. It converts passports, national IDs, driver's licences, vehicle registrations, invoices, receipts, VINs, container numbers, hull identification numbers, licence plates and ATM cassette labels into structured JSON with named fields, using proprietary models per document type instead of one generic text-extraction pass. The identity output is the clearest illustration: a driver's licence request returns document number, surname, given names, address, vehicle class, sex, date of birth and the issue and expiry dates as separate typed fields, not as a block of recognised text a caller then has to parse. Coverage spans 193 countries and territories and over 100 languages, with a published 99.9% data-extraction accuracy figure and sub-four-second average response times for real-time verification. The commercial model is pure pay-as-you-go with no subscription at any tier, priced in credits at a base rate of one credit per cent: standard documents such as VIN, container, HIN, receipt and licence plate cost one credit, identity documents two, and invoices three, reflecting genuine differences in extraction difficulty. Credits never expire and larger top-ups carry bonus credits up to 71%, which brings the effective per-scan cost below a cent at volume. New accounts get 200 free credits without a card.
Ideal use cases:
- •Teams or individuals who need purpose-built models per document type rather than generic ocr
- •Teams or individuals who need typed json output with named fields, not raw recognised text
- •Teams or individuals who need coverage across 193+ countries and territories and 100+ languages
- •Teams or individuals who need sub-four-second average response for real-time verification
- •Anyone focused on ocr workflows
- •Anyone focused on kyc workflows
🗃️ Other Data Extraction Tools to Consider
AutoForm and StructOCR aren't the only options. Here are other popular tools in the same space:
Browse AI
No-code web scraping and monitoring tool.
Maxun
Open-source no-code platform to crawl, scrape, search, and AI-extract web data, with MCP, SDKs, and a visual recorder
Smooth
Serverless browser agent API scoring 92% on WebVoyager — proxies, sessions, and CAPTCHA solving handled
Siftly
Drop invoices or receipts in, get clean CSV, Excel, or Google Sheets data out, from $3.99/month
SocialKit
One API for YouTube, TikTok, Instagram, Facebook, X, and LinkedIn data — transcripts, stats, and profiles
AnyAPI
One key, one wallet, pay-per-request access to 1,200+ web data sources
Is one of these your tool?
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Frequently Asked Questions
Is AutoForm better than StructOCR?
It depends on your needs. AutoForm offers 6 key features including Extracts fields from PDFs, spreadsheets, emails, decks and web pages and Cleans and labels extracted data with natural-language instructions, while StructOCR provides 6 features including Purpose-built models per document type rather than generic OCR and Typed JSON output with named fields, not raw recognised text. AutoForm uses a freemium model with a free tier, while StructOCR is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is AutoForm cheaper than StructOCR?
AutoForm doesn't have standard paid plans, while StructOCR starts at $0.01/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use AutoForm and StructOCR together?
Yes, many users combine AutoForm and StructOCR in their workflow. AutoForm excels at extracts fields from pdfs, spreadsheets, emails, decks and web pages, while StructOCR shines with purpose-built models per document type rather than generic ocr. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between AutoForm and StructOCR?
While both are data extraction tools, AutoForm emphasizes extracts fields from pdfs, spreadsheets, emails, decks and web pages, whereas StructOCR is known for purpose-built models per document type rather than generic ocr. The best choice depends on your specific workflow and feature priorities.
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