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CatchTheTornado/text-extract-api

Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown

#Document parsing
Visit GitHub
Python
3.2k
279
11 contributors
MIT License
website
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Momentum

How fast CatchTheTornado/text-extract-api is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Nov 6 – Nov 9, 2026

Stars +5 in 4 days

0123
3

Forks +1 in 4 days

01
1

Merged PRs 0 in 4 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Nov 6Nov 7Nov 8Nov 9
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Fri, Nov 6, 2026+0+00
Sat, Nov 7, 2026+2+00
Sun, Nov 8, 2026+3+10
Mon, Nov 9, 2026+0+00
Total+5+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 91 post

    • 先看结果：处理一堆 PDF 的你，找出处要花 10 分钟，做完本地对话知识库后提问就有带出处的答案。 文档散在各处，搜不到也问不了。 三步衔接：解析切块，入库检索，再由 RAG 框架问答。 第 1 步 · 文档解析工具： —— 把文档解析成干净文本并切块。 第 2 步 · 向量数据库： —— 把切块存入向量库，按语义找回片段。 第 3 步 · RAG 问答框架： ——…

      Read full on X, posted by @xiaoanlab

      @xiaoanlab · x.com

  2. Nov 71 post

    • 每天处理一堆PDF和Word的你，查一条要翻3个文件夹，本地搭RAG知识库能让资料开口回答。 它解决资料散、格式杂、问不到的问题。 先解析成文本，再向量入库，最后检索生成带出处的答案。 第 1 步 · 文档解析工具： —— 把PDF、Word等解析成干净文本。 第 2 步 · 向量数据库： —— 把文本转成向量存入本地。 第 3 步 · RAG 检索问答框架： —— 检索片段并生成带引用的答案。…

      Read full on X, posted by @xiaoanlab

      @xiaoanlab · x.com

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