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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.

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Website, pricing, platforms and company facts side by side.
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DokuScan
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| Website | dokuscan.com | react-server.io |
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| Company | Startup from the United Kingdom · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.

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...
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What each product offers, as listed by its team.

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Overall verdict
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As answered by people managing DokuScan and React Server.
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.
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