xberg
ai-infrastructureStable
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.
Stars
8,671
Δ stars 7d
+35
Δ stars 30d
—
Forks
525
Contributors
51
npm DL / wk
—
PyPI DL / wk
—
Language
Rust
Last push
2026-07-19
About xberg
Extract text, metadata, transcripts, and code intelligence from 96 file formats and 306 programming languages at native speeds without needing a GPU. Xberg is a document-intelligence framework with a Rust core and native bindings for 16 languages. It turns documents, images, audio, and source code into clean, structured text — extracting tables, metadata, transcripts, and code intelligence from 96 file formats and 306 programming languages. Modern AI and RAG pipelines need fast, reliable extraction without a GPU or a stack of heavyweight…
Read the full README on GitHub →
xberg growth signals this week
- Gained 35 stars in the last 7 days
- 3x the median weekly star growth of its category
Growth score: 25/100 week of 2026-07-20
Signal history
| Week | Score | Δ★ | Signal |
|---|---|---|---|
| 2026-07-20 | 25 | +35 | Stable |
| 2026-07-13 | 29 | +35 | Stable |
| 2026-07-06 | 14 | +26 | Stable |
| 2026-06-29 | 15 | +28 | Stable |
| 2026-06-22 | 15 | +30 | Stable |
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Frequently asked questions
- Is xberg still maintained?
- Yes — actively maintained. The last push was on 2026-07-19, with 51 contributors.
- Is xberg growing?
- It is stable this week, with a growth score of 25/100. See the weekly history above.
- What are the best xberg alternatives?
- Closest by category and size in our data: kreuzberg, ChatGPT-Shortcut, Airweave Search — full list with live signals above.
Topics
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Tracked since 2026-06-25 · data as of 2026-07-19 · 18 open issues · 60 releases