Extract

Extraction Skill

Extract text, data, and structured content from images and PDF documents using OpenAI Vision.

Capabilities

• Image OCR: Extract text from images using GPT-4 Vision
• PDF Text Extraction: Parse text from PDF documents
• Structured Output: Output as plain text, Markdown, or JSON
• Custom Prompts: Direct the extraction with specific instructions

Supported Formats

Input

• Images: PNG, JPG, JPEG, GIF, WEBP, BMP, TIFF
• Documents: PDF

Output

• text: Clean, readable plain text
• markdown: Structured Markdown with headings, lists, and tables
• json: Structured JSON with sections, tables, and metadata

Usage

# Extract text from an image
bun run src/index.ts extract --input ./receipt.png --output ./receipt.txt

# Extract as Markdown from a PDF
bun run src/index.ts extract -i ./document.pdf -o ./document.md -f markdown

# Extract with custom prompt
bun run src/index.ts extract \
  --input ./invoice.png \
  --format json \
  --prompt "Extract invoice number, date, total amount, and line items"

# High-detail extraction for small text
bun run src/index.ts extract \
  --input ./handwriting.jpg \
  --detail high \
  --format text

Options

| Option | Short | Description | |--------|-------|-------------| | --input | -i | Input file path (required) | | --output | -o | Output file path (optional) | | --format | -f | Output format: text, markdown, json | | --prompt | -p | Custom extraction prompt | | --model | -m | OpenAI model (default: gpt-4o) | | --detail | -d | Image detail: low, high, auto |

Environment Variables

export OPENAI_API_KEY="your-openai-key"

Examples

Receipt Extraction

bun run src/index.ts extract \
  --input ./receipt.jpg \
  --format json \
  --prompt "Extract store name, date, items with prices, subtotal, tax, and total"

Document to Markdown

bun run src/index.ts extract \
  --input ./report.pdf \
  --format markdown \
  --output ./report.md

Handwritten Notes

bun run src/index.ts extract \
  --input ./notes.jpg \
  --detail high \
  --prompt "Transcribe the handwritten text, preserving the structure"

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: hasna
• Source: hasna/skills
• License: Apache-2.0

Install and usage instructions live in the source repository linked above.