Klippa DocHorizon
Amazon Textract
Sumext
getTxt.AI
Invoice OCR
DocParser
IPASIS
Stop manual data entry. Extract structured data from global IDs, VINs, HINs, License Plates, Invoices and Receipts with 98.5% accuracy. No credit card required to start.
DocParser
Parsio.io
Koncile
Invofox Custom Documents
DocuClipper
Docsumo
DokuBrain
Extract any data from any document — you define the fields, AI does the rest. Timesheets, delivery notes, forms & more. GDPR-compliant, German servers. No subscription, credits never expire.

Which is more popular?
Website, pricing, platforms and company facts side by side.
|
SOC
StructOCR
|
DS
DokuScan
|
|
|---|---|---|
| Website | structocr.com | dokuscan.com |
| Pricing | ||
| Company | — | Startup from the United Kingdom · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.
No description of StructOCR yet.
DokuScan is an AI-powered document data extraction tool that lets you define exactly which fields to extract — no fixed templates, no coding required. Upload PDFs, JPGs, or PNGs, create a template with your custom fields (text, number, date, yes/no), and DokuScan's AI extracts the data...
What each product offers, as listed by its team.
Possible disadvantages
An editorial look at what each product does well and who it suits.
No analysis of StructOCR yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.
As answered by people managing StructOCR and DokuScan.
DokuScan's answer:
Laravel, Filament, Livewire, Azure, multi-tenant architecture.
DokuScan's answer:
DokuScan combines OCR/AI extraction with a configurable export-template layer: users define their own field templates for extraction, then apply a separate transformation stage (rename, merge/split fields, format conversion, value lookup, fixed values, conditional mapping) that reshapes the output into their target system's exact structure — no code, live preview against a real scan. Also available for webhook payloads, not just file export.
DokuScan's answer:
No rigid predefined document types or fixed field sets — templates are fully user-defined. The export-transformation layer means the output can match any target system's format directly (renamed/reordered fields, split or merged values, lookup-table value mapping) instead of forcing manual post-processing after every export.
DokuScan's answer:
Built by Nibsy Tech Ltd, a solo-founder SaaS studio also behind BelegScan. Grew from the same OCR/extraction pipeline; the export-template/transformation system was added after seeing customers manually reshape exports to match their own systems after every run.
DokuScan's answer:
Businesses and freelancers with recurring document volume from an uncontrolled source format that must feed a fixed target system. Built multilingual from the start (DE/EN/PL/ES), targeting international users, not DACH-first.
Share your experience with using StructOCR and DokuScan. For example, how are they different and which one is better?
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