TranslateBooksWithLLMs
Translate full-length books and documents with preservation of formatting and no file size limits
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
TranslateBooksWithLLMs leverages LLMs to translate books and documents preserving formatting with no file size limits.
Good fit when
- When high-quality translations of large books with complex formatting are required, as it uses advanced LLMs like Ollama for precise translation without constraints on document size or layout.
- If a resumption feature is needed to start and stop the translation process at any point without losing progress.
Avoid when
- Avoid if real-time API access to specific AI services such as Gemini, Mistral, Poe, OpenRouter, or Ollama is not available since these are integral for the tool's operation.
- If translations are needed without the GNU AGPL-3.0 license obligations, alternative tools might be preferable due to this tool’s licensing.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install TranslateBooksWithLLMsSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool using LLMs like Ollama, OpenAI compatible models, Gemini, Mistral, Poe, OpenRouter for translating books and documents while preserving formatting and allowing resumption at any point
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 20, 2026
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Tags
README
Quick Start 1. Download the release for your platform (buttons above), or grab it from the releases page. 2. Extract the archive. 3. Run (Windows) or (macOS). 4. Open http://localhost:5000 in your browser. That's it. On first launch, you choose a translation provider: Free & loca...
For agents
This page has a .md twin and JSON over the API.