#documentparsing

Live, measured metrics for the hashtag #documentparsing from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 10:41 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 10:41 UTC

No related tags with measured usage found for #documentparsing.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 10:41 UTC

Everything below is measured over the latest 4 public posts (spanning ~7651 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 0

Top of the latest posts

  • OpenAI Developers (@OpenAIDevs) GPT-5.5가 Codex에서 Databricks의 복잡한 고객 문서를 더 안정적으로 파싱하는 데 활용되고 있다고 언급했다. 실무 문서 이해·추출 작업에서 최신 코드/에이전트형 LLM의 신뢰도 향상 사례로 볼 수 있다. https://x.com/OpenAIDevs/status/2059353117934899289 #gpt55 #codex #databricks #llm #d

    ainews@[email protected]002026-05-27 00:50 UTCView post →
  • Omar Sanseviero (@osanseviero) LlamaIndex가 실제 엔터프라이즈 문서 2천 페이지를 검증한 문서 파싱 에이전트 벤치마크 ParseBench를 공개했다. 문서 파싱 성능을 평가하는 새로운 기준을 제시하며, ML 생태계에서 벤치마크의 중요성을 강조하는 오픈한 작업으로 주목된다. https://x.com/osanseviero/status/2048777802015535189 #llamaindex #ben

    ainews@[email protected]002026-04-27 16:44 UTCView post →
  • Google for Developers (@googledevs) 금융 PDF와 복잡한 표에서 구조화된 데이터를 더 정확하게 추출하기 위해 LlamaParse와 Gemini 3.1 Pro를 활용하는 문서 파싱 개선 사례를 소개한다. 비정형 브로커리지 명세서 처리와 이벤트 기반 확장 기능을 통해 문서 이해 정확도를 15% 향상시켰다고 강조한다. https://x.com/googledevs/status/2036101456239939

    ainews@[email protected]002026-03-23 15:47 UTCView post →

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/documentparsing