File conversion workflows

Pick what you need to convert. Every workflow runs on Anthropic’s Claude and returns clean, structured data — no code, no OCR pipeline. Start free with 100 credits.

Convert scanned invoices to structured JSON & Excel

Stamps, handwriting, and dense line-item grids become clean header fields, item tables, and totals—ready for ERP, AP workflows, or automation.

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Convert identity cards to a CSV row

Driver’s licenses, national IDs, and passports—photo, barcode, and layout fields extracted into a flat CSV row for KYC, onboarding, or databases.

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Convert bank statements to Excel

Multi-page statements with running balances become organized Excel sheets—summary, transactions, and daily balances on separate tabs.

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Convert contract PDFs to editable Word

Scanned or digital contract PDFs become editable Word files—numbered sections, fill-in blanks, and checkbox options kept intact.

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Convert Excel spreadsheets to Markdown tables

Workbooks with parameters, merged headers, and grids become clean Markdown—ready for docs, wikis, and RAG.

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Convert presentations to structured Markdown

Slides with diagrams, matrices, and formulas become structured Markdown—one section per slide, layouts and metrics preserved.

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Convert handwritten notes and scans to text

Photos of notebooks, whiteboards, and scan-only PDFs—cursive and mixed styles transcribed into clean, readable Markdown.

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Convert audio and video to transcripts and subtitles

Upload any audio or video recording and get a Markdown transcript with per-sentence timestamps—ready for search, summarisation, or subtitle export.

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Convert email archives to structured Markdown

Convert .eml, .msg, .mbox archives, or full .pst files into structured Markdown with YAML front-matter headers, clean body text, and attachment inventory.

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Convert EPUB books to structured Markdown

Extract chapters, metadata, and table of contents from EPUB e-books into clean, navigable Markdown—ready for indexing, search, or republishing.

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Convert SVG diagrams to described Markdown

SVGs are rasterised and described by Claude Vision, with all <text> labels extracted and listed—perfect for accessibility documentation.

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