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Mistral PDF OCR

Extracts text, tables, and images from PDFs (including scanned PDFs) using the Mistral OCR API. Use when user asks to OCR a PDF/image, extract text from a PD...

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Extracts text, tables, and images from PDFs (including scanned PDFs) using the Mistral OCR API. Use when user asks to OCR a PDF/image, extract text from a PD...

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, scripts/mistral_ocr_extract.py, scripts/requirements.txt, references/mistral_ocr_api.md, references/output_mapping.md, references/annotation_prompts.md

Validation

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Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

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Agent handoff

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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: tristanmanchester
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 5 sections Open source page

Quick start (default)

Run the bundled script to OCR a local PDF and write Markdown + JSON outputs: python {baseDir}/scripts/mistral_ocr_extract.py --input path/to/file.pdf --out out/ocr Output directory layout: combined.md (all pages concatenated) pages/page-000.md (per-page markdown) raw_response.json (full OCR response) images/ (decoded embedded images, if requested) tables/ (separate tables, if requested)

Workflow

Pick input mode Local PDF (most common): upload via Files API, then OCR via file_id. Public URL: OCR directly via document_url. Choose output fidelity (defaults are safe for RAG) Keep table_format=inline unless the user explicitly wants tables split out. Set --include-image-base64 when the user needs figures/diagrams extracted. Use --extract-header/--extract-footer if header/footer noise hurts downstream search. Run OCR Use scripts/mistral_ocr_extract.py to produce a deterministic on-disk artefact set. (Optional) Structured extraction from the whole document If the user wants fields (invoice totals, contract parties, etc.), provide an annotation prompt. The OCR API can return a document-level document_annotation in addition to page markdown. Example: python {baseDir}/scripts/mistral_ocr_extract.py \ --input invoice.pdf \ --out out/invoice \ --annotation-prompt "Extract supplier_name, invoice_number, invoice_date (ISO-8601), currency, total_amount. Return JSON." \ --annotation-format json_object

Decision rules

If the PDF is local and not publicly accessible, upload it (the script does this automatically). If the PDF URL is private or requires authentication, do not pass it as document_url; upload instead. If output quality is critical, prefer table_format=html for downstream parsing over brittle regex.

Common failure modes

Missing MISTRAL_API_KEY: set it in the environment before running. URL OCR fails: the URL likely is not publicly accessible; upload the file. Large files: upload supports large files, but very large PDFs may need page selection (--pages) or batch processing.

References

API + parameters: references/mistral_ocr_api.md Output mapping rules (placeholders to extracted images/tables): references/output_mapping.md Example annotation prompts for common document types: references/annotation_prompts.md

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

4 Docs1 Scripts1 Files

SKILL.md Primary doc
references/annotation_prompts.md Docs
references/mistral_ocr_api.md Docs
references/output_mapping.md Docs
scripts/mistral_ocr_extract.py Scripts
scripts/requirements.txt Files