# Image

Extract text from images using a vision LLM

- Repository: https://github.com/axoviq-ai/synthadoc (1725 stars)
- Category: AI and agents
- License: AGPL-3.0-or-later
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add axoviq-ai/synthadoc --skill image -g -a claude-code -y`
Codex: `npx skills add axoviq-ai/synthadoc --skill image -g -a codex -y`
Cursor: `npx skills add axoviq-ai/synthadoc --skill image -g -a cursor -y`
Gemini CLI: `npx skills add axoviq-ai/synthadoc --skill image -g -a gemini-cli -y`

## Description

Extract text from images using a vision LLM

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Image Skill

Base64-encodes the image and passes it to a vision-capable LLM that extracts
all text and key information. Returns the LLM's response as `result.text`.

## Setup

No pip dependency, the skill uses only the Python standard library plus a
LLM provider you supply at construction time. The provider can be any object
that implements the `complete()` interface (see below).

## Standalone usage

```python
import asyncio
from synthadoc.skills.image.scripts.main import ImageSkill

# ImageSkill REQUIRES a vision-capable provider, calling extract() without
# one raises ValueError immediately.
skill = ImageSkill(provider=my_provider)

async def main():
    result = await skill.extract("/path/to/screenshot.png")
    print(result.text)          # extracted text from the image
    print(result.metadata)      # {"tokens_input": N, "tokens_output": N}

asyncio.run(main())
```

**Provider interface**, any object with this async method:

```python
async def complete(
    messages: list,             # list of Message objects from synthadoc.skills.base
    system: str | None = None,
    temperature: float = 0.0,
    max_tokens: int = 4096,
) -> object                     # must have .text (str), .input_tokens (int), .output_tokens (int)
```

Build the provider with any vision-capable model. `Message` is importable
from `synthadoc.skills.base`, no dependency on `synthadoc.providers`:

```python
from synthadoc.skills.base import Message
```

**Supported image formats:** `.png`, `.jpg`/`.jpeg`, `.webp`, `.gif`, `.tiff`

## When this skill is used

- Source path ends with `.png`, `.jpg`, `.jpeg`, `.webp`, `.gif`, or `.tiff`
- User intent contains: `image`, `screenshot`, `diagram`, `photo`