llmwhispererExtract text and layout from images and PDFs using LLMWhisperer API. Good for handwriting and complex forms.
Install via ClawdBot CLI:
clawdbot install gumadeiras/llmwhispererExtract text from images and PDFs using the LLMWhisperer API â 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.
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
Generated Mar 1, 2026
Healthcare providers can use LLMWhisperer to extract patient information from handwritten intake forms and scanned medical records. This automates data entry, reduces errors, and improves efficiency in electronic health record systems.
Businesses can process scanned invoices and receipts to extract vendor details, amounts, and dates automatically. This streamlines accounts payable workflows, enabling faster payment processing and better financial tracking.
Educators can digitize handwritten student assignments and exams for easier grading and analysis. This helps in tracking progress, providing feedback, and maintaining digital archives of student work.
Law firms can extract text from scanned legal documents, contracts, and handwritten notes to search for key clauses or evidence. This speeds up case preparation and enhances document management in legal workflows.
Retailers can process handwritten inventory lists or supplier forms to update stock levels automatically. This reduces manual data entry, minimizes errors, and improves inventory accuracy in supply chain operations.
Offer a free tier with 100 pages per day to attract individual users and small businesses, then charge for higher volume plans. This model encourages adoption while generating revenue from power users and enterprises needing more capacity.
License the technology to large companies for integration into their internal systems, such as document management or workflow automation platforms. This provides a steady revenue stream through custom contracts and support services.
Charge developers based on the number of API calls or pages processed, with no upfront costs. This appeals to startups and projects with variable usage, allowing them to scale costs with their needs.
đŹ Integration Tip
Ensure the LLMWHISPERER_API_KEY is securely stored in environment variables and test with sample files to verify output format before full deployment.
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