Transcriber

unlisted

by Sébastien Dubois

Transcribe images to markdown using Ollama vision models

9 starsUpdated 10d agoMIT
View on GitHub

Transcriber for Obsidian

An Obsidian plugin that transcribes images to Markdown using local Ollama vision models.

Point it at any image in your vault and get structured Markdown back — headings, lists, tables, code blocks — all extracted by a vision AI running on your own machine. No data leaves your computer.

What it does

  • Transcribe a single image via the command palette or right-click context menu
  • Batch-transcribe an entire folder of images (with optional subfolder inclusion)
  • Creates a .md file alongside each image with the transcribed content
  • Install, select, and remove AI models directly from the command palette — no terminal needed
  • Progress tracking for batch operations with per-file status
  • Configurable prompt so you can tailor the transcription instructions

Recommended models

The plugin recommends these vision models for transcription:

maternion/LightOnOCR-2:1b, qwen3.5:2b, qwen3.5:4b, qwen3.5:9b, qwen3.5:27b, qwen3.5:35b

Any other Ollama vision model can be installed directly from the settings or via the Ollama CLI.

Prerequisites

  • Ollama installed and running locally
  • Desktop Obsidian (this plugin is desktop-only)

Getting started

  1. Install the plugin from Settings > Community plugins
  2. Enable it
  3. Open Settings > Transcriber and verify the Ollama server URL (default: http://localhost:11434)
  4. Click Test to confirm the connection
  5. Install a model: open the command palette (Ctrl/Cmd+P) and run Install AI model, or install from settings
  6. Right-click any image in your vault and select Transcribe image

Documentation

See the user guide for detailed usage, configuration, and troubleshooting.

Support

Created by Sébastien Dubois.

Buy me a coffee

License

MIT

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