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aws-solutions-library-samples/accelerated-intelligent-document-processing-on-aws

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This Guidance demonstrates a scalable, serverless approach for automated document processing and information extraction using AWS services, such as Amazon Bedrock Data Automation and Amazon Bedrock foundational models. It combines generative AI and optical character recognition (OCR) to process documents at scale.

active 2025-06-10 → 2026-10-23 (UTC)

Complete coverage27,972 / 27,972 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-23 (UTC)
Events
2K
Pushes
689
Pull requests
207
Issues
143
Stars
92
Forks
29

Activity over time

Daily event counts in the loaded window

Line chart, 501 days from 2025-06-10 to 2026-10-23. Pushes: 689 total, peak 19 in a day. Pull requests: 207 total, peak 32 in a day. Issues: 143 total, peak 8 in a day. Comments: 306 total, peak 21 in a day. Stars: 92 total, peak 3 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
rstrahan1K64678181
dependabot[bot]973904
HatmanStack570035
kazmer975132115
mbellaga390419
lorchda13038
Copilot8004
markjayne-amzn8003
mmiakashs7001
sromoam7014
art-aws7041
kijosp6004
tanimath5002
khanrubd4022
vawsgit4012
github-actions[bot]4004
short0003001
ArlindNocaj3001
joaothomaz-built3003
adiadd3021

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 92 stars here means stars gained during the window, not the repo's star count.