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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 automatically. Export results as Excel, CSV, or JSON.
Unlike most OCR tools that are limited to invoices or receipts, DokuScan works with any document type: timesheets, delivery notes, HR forms, inspection reports, order forms, and more. One template, unlimited reuse.
New: configurable export transformations. Beyond raw extraction, you can define a reusable mapping that reshapes the output to match your target system exactly — rename fields, merge or split values, convert number/date formats, map values via a lookup table, apply fixed values, or set conditional rules. No coding needed: a live preview against a real scan shows the result while you configure it. Multiple mapping configurations can be saved per template and reused on every future scan. The same transformation layer also applies to webhook payloads, not just file exports — so integrations receive data already shaped for your system.
Key features: custom field definitions, multi-page PDF support, configurable export mappings/transformations, multilingual processing (DE, EN, PL, ES, FR), confidence scores, batch upload, API access, and GDPR-compliant storage on German servers. No subscription — buy scan credits once, they never expire. 10 free scans to get started, no credit card required.
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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.
Based on our record, GitHub Pages seems to be more popular. It has been mentiond 504 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.
The site itself is a statically generated Next.js app, built in CI and deployed to GitHub Pages via actions/deploy-pages. No server to manage, no hosting bill. - Source: dev.to / 5 months ago
Static sites are fast and cheap to host, but your data goes stale the moment you deploy. This post shows how a SvelteKit portfolio site serves live data from five external sources while still deploying as static HTML to GitHub Pages. - Source: dev.to / 6 months ago
All three themes are designed for accessible deployment. You can host them for free on Netlify, GitHub Pages, Vercel, or Cloudflare Pages. The only cost is a domain name (which can be as cheap as $5/year on Porkbun). - Source: dev.to / 7 months ago
This action can store collected benchmark results in GitHub pages branch and provide a chart view. Benchmark results are visualized on the GitHub pages of your project. - Source: dev.to / 11 months ago
But that's not the case. The blog is a simple static generated website using Jekyll, it is built and served through GitHub Pages. With that in mind it makes more sense to use tools and leverage tool calling. - Source: dev.to / about 1 year ago
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