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aws-samples/sample-auto-extract-ai-ocr-app

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AutoExtract is an AI-OCR solution that leverages OCR + Bedrock for document reading. It's a tool that semi-automates information extraction from forms and documents, supporting human data entry verification.

active 2025-09-25 → 2026-07-27 (UTC)

Complete coverage28,025 / 28,025 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-25 (UTC)
Events
132
Pushes
36
Pull requests
26
Issues
6
Stars
8
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 306 days from 2025-09-25 to 2026-07-27. Pushes: 36 total, peak 7 in a day. Pull requests: 26 total, peak 4 in a day. Issues: 6 total, peak 1 in a day. Comments: 7 total, peak 3 in a day. Stars: 8 total, peak 4 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
gteu6635212
adachishohei4003
github-advanced-security[bot]4002
dependabot[bot]4040
akitomomikix1010
nsxshotaws1100

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 8 stars here means stars gained during the window, not the repo's star count.