Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Extract text and layout from images and PDFs using LLMWhisperer API. Good for handwriting and complex forms.
Extract text and layout from images and PDFs using LLMWhisperer API. Good for handwriting and complex forms.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Extract text from images and PDFs using the LLMWhisperer API โ great for handwriting and complex forms.
Requires LLMWHISPERER_API_KEY in ~/.clawdbot/.env: echo "LLMWHISPERER_API_KEY=your_key_here" >> ~/.clawdbot/.env
Get a free API key at unstract.com/llmwhisperer. Free Tier: 100 pages/day
llmwhisperer <file>
The executable script is located at scripts/llmwhisperer. #!/bin/bash # Extract text using LLMWhisperer API if [ -z "$LLMWHISPERER_API_KEY" ]; then if [ -f ~/.clawdbot/.env ]; then # shellcheck disable=SC2046 export $(grep -v '^#' ~/.clawdbot/.env | grep 'LLMWHISPERER_API_KEY' | xargs) fi fi if [ -z "$LLMWHISPERER_API_KEY" ]; then echo "Error: LLMWHISPERER_API_KEY not found in env or ~/.clawdbot/.env" exit 1 fi FILE="$1" if [ -z "$FILE" ]; then echo "Usage: $0 <file>" exit 1 fi curl -s -X POST "https://llmwhisperer-api.us-central.unstract.com/api/v2/whisper?mode=high_quality&output_mode=layout_preserving" \ -H "Content-Type: application/octet-stream" \ -H "unstract-key: $LLMWHISPERER_API_KEY" \ --data-binary "@$FILE"
Print text to terminal: llmwhisperer flyer.jpg Save output to a text file: llmwhisperer invoice.pdf > invoice.txt Process a handwritten note: llmwhisperer notes.jpg
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.