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lightonai/LightOnOCR

Turn document pixels into structured, grounded content with LightOnOCR-3

#Document parsing
Visit GitHub
Python
56
3
2 contributors
Apache License 2.0
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

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Momentum

How fast lightonai/LightOnOCR 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

Oct 7 – Oct 27, 2026

Stars +55 in 21 days

051015
13

Forks +3 in 21 days

01
1

Merged PRs 0 in 21 days

01

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

Not in the Trendshift top 25 in this period

Oct 7Oct 10Oct 13Oct 16Oct 19Oct 22Oct 25
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
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+9+10
Fri, Oct 9, 2026+13+00
Sat, Oct 10, 2026+1+00
Sun, Oct 11, 2026+4+10
Mon, Oct 12, 2026+5+00
Tue, Oct 13, 2026+5+00
Wed, Oct 14, 2026+5+10
Thu, Oct 15, 2026+1+00
Fri, Oct 16, 2026+3+00
Sat, Oct 17, 2026+1+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+3+00
Wed, Oct 21, 2026+1+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+2+00
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+1+00
Mon, Oct 26, 2026+0+00
Tue, Oct 27, 2026+1+00
Total+55+30
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 151 post
    • 【每天模型点评】3B 模型做决策,一个 token 都不输出,8 毫秒一次 🤯 这两周最新开源小模型 Top 4: 1️⃣ 腾讯 Youtu-Parsing-Omni(5B)文档/图表/音视频统一转 JSON 2️⃣ Liquid d1-3B 零输出 token 的决策模型 3️⃣ LightOnOCR-3(4B,Apache 2.0)带坐标定位的 OCR 4️⃣ MiniCPM-V…

      Read full on X, posted by @M_NU11

      @M_NU11 · x.com

  2. 7 days earlier
  3. Oct 82 posts
    • Big jump in quality too 📈 ParseBench: 4B (75.1) and 0.8B (74.6) take #1 and #2 olmOCR-Bench: 4B at 86.3, only beaten by Infinity Parser Pro (87.6), a 35B model fr-bench-pdf2md: our 3 models take the…

      Read full on X, posted by @baptaubertin

      @baptaubertin · x.com

    • We made quite a few changes to the training data too: MinHash deduplication across the entire corpus, 2× sampling for formulas, 3× for tables, handwriting and multilingual, synthetic documents with…

      Read full on X, posted by @staghado

      @staghado · x.com

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