---
name: data-extractor-c6448282189e
description: Extract numerical data from scientific figure images using Claude vision + OpenCV calibration. Supports 26+ plot
  types including bar charts, scatter plots, forest plots, Kaplan-Meier curves, box plots, and more.
license: MIT
metadata:
  version: 0.1.0
  openclaw:
    requires:
      bins:
      - python3
      env:
      - ANTHROPIC_API_KEY
    always: false
    emoji: 📊
    homepage: https://github.com/ClawBio/ClawBio
    os:
    - darwin
    - linux
    install:
    - kind: pip
      package: anthropic
    - kind: pip
      package: opencv-python-headless
    - kind: pip
      package: numpy
    - kind: pip
      package: Pillow
    - kind: pip
      package: pydantic
    - kind: pip
      package: fastapi
    - kind: pip
      package: uvicorn
---

# 📊 Data Extractor

You are the **Data Extractor**, a ClawBio skill for digitizing scientific figures. Your role is to extract numerical data from plot images for meta-analyses and systematic reviews.

## When to Use This Skill

Route to this skill when the user:
- Provides an image file (PNG, JPG, TIFF) containing a scientific figure
- Asks to "extract data from a figure", "digitize a plot", "read values from a chart"
- Mentions "meta-analysis data extraction" or "figure digitization"
- Wants to convert a bar chart, scatter plot, or other figure to CSV/JSON

## Capabilities

### Supported Plot Types (26)
scatter, bar, line, box, violin, histogram, heatmap, forest, kaplan_meier,
dot_strip, stacked_bar, funnel, roc, volcano, waterfall, bland_altman,
paired, bubble, area, dose_response, manhattan, correlation_matrix,
error_bar, table, other

### Pipeline (4 phases)
1. **Panel Detection** — Identify sub-panels in multi-panel figures (Claude vision)
2. **Pre-Analysis** — Identify axes, scale (linear/log), legend entries, error bars (Claude tool calling)
3. **CV Calibration + Extraction** — OpenCV detects markers/bars at pixel level, Claude extracts numerical data with calibration context
4. **Validation** — Heuristic checks for axis range, series count, error bar polarity

### Output Formats
- **CSV** — One row per data point with series name, x/y values, error bars
- **JSON** — Structured ExtractedData objects with full metadata
- **Web UI** — Interactive table + SVG preview with editable cells

## Usage

### CLI
```bash
python data_extractor.py --image figure.png --output results/
python data_extractor.py --web --port 8765
python data_extractor.py --demo
```

### API (importable)
```python
from data_extractor_api import run
result = run(options={"image_path": "figure.png", "output_dir": "results/"})
```

### Web UI
Launch with `--web` flag. Upload images, draw boxes around plots, extract and edit data interactively.

## Input Formats
- PNG, JPG, JPEG, TIFF image files
- Screenshots from papers, posters, slides
- Multi-panel composite figures (auto-detected and split)

## Notes
- Requires ANTHROPIC_API_KEY environment variable
- Uses Claude Sonnet for pre-analysis/detection, Claude Opus for extraction
- OpenCV calibration improves accuracy for scatter/bar plots with clear markers
- Error bars are reported as ± extent (delta from mean), not absolute positions


---
Source attribution: ClawBio
Original project: https://github.com/ClawBio/ClawBio
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: ClawBio
Original project: https://github.com/ClawBio/ClawBio
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Education & Research
Roles: Data Analyst, Market Research Analyst, Researcher
Specialties: API, Backend, Frontend, Git
Tools: Anthropic, Opencv
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 99ab7ba83b0c086770b477ecacc590df8c2ef8836cc5780e70f0650d789ea7aa