text-extract-api vs xberg
Document extraction tools compared
text-extract-api and xberg extract content from documents and offer OCR-based processing. text-extract-api focuses on a self-hostable Python API for turning files into Markdown or JSON, while xberg offers a Rust core, bindings for 15 languages, and a broader set of document and code features.
text-extract-api: Extract Text and Data from Documents
A self-hostable API that turns PDFs, images, and Office files into Markdown or structured JSON using OCR and Ollama models. It suits teams that need document processing and PII removal with control over where files are processed.
xberg: Extract Documents Across Languages with a Rust Core
Xberg is a polyglot document-intelligence engine built on a Rust core, with bindings for 15 languages and CLI, REST API, and MCP interfaces. It extracts text, tables, metadata, and structured data from many document formats, and uses Whisper for optional audio transcription.
| text-extract-api | xberg | |
|---|---|---|
| Language | Python | Rust |
| License | MIT | MIT |
| Stars | 3.2k | 9.4k |
| Forks | 279 | 593 |
| Last analyzed | Oct 3, 2026 | Oct 15, 2026 |
Key differences
- text-extract-api is written in Python and xberg is built on a Rust core, with bindings for 15 languages.
- text-extract-api targets PDFs, images, and Office files; xberg also covers a broad range of formats, code structure, and optional audio or video-track transcription.
- text-extract-api uses OCR strategies with optional Ollama processing; xberg offers several OCR backends and optional enrichment such as embeddings, summarization, and schema-driven extraction.
- text-extract-api provides HTTP API endpoints and a CLI, while xberg also has language bindings and an MCP server.
- text-extract-api describes asynchronous processing with Celery, Redis caching, and configurable storage profiles; xberg can run as a library, CLI, REST API, or MCP server.
- Both projects use the MIT license; text-extract-api is not archived, and xberg's contributor activity is concentrated heavily around one person, a continuity risk noted in its project information.
Choose text-extract-api if you…
- need a self-hostable Python service focused on extracting PDFs, images, or Office files into Markdown or JSON.
- want OCR output refined with Ollama models or prompt-based PII removal.
- need asynchronous processing, OCR-result caching, or configurable storage profiles such as local files, Google Drive, or Amazon S3.
Choose xberg if you…
- need document extraction through bindings in multiple languages, an MCP server, or a REST API.
- want to handle code structure or optional audio and video-track transcription alongside document extraction.
- need output options such as Djot, HTML, JSON trees, or DocTags, or optional enrichment features.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.