#DocumentAI

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

hashtag.org network · sponsored

Own #documentai

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$23.52/ year · 10-character #name
Claim #documentai — $23.52/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-20 00:03 UTC
0
10-14
0
10-15
0
10-16
0
10-17
0
10-18
0
10-19
0
10-20

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 2026-10-20 00:03 UTC
#documentaire
16 uses · 15 accounts / 7d
#documentaires
1 uses · 1 accounts / 7d
#documentairerap
0 uses · 0 accounts / 7d
#documentaireserie
0 uses · 0 accounts / 7d
#DocumentaireArte
0 uses · 0 accounts / 7d
#documentairesetreportages
0 uses · 0 accounts / 7d
#documentairesurlia
0 uses · 0 accounts / 7d
#documentairecomplet
0 uses · 0 accounts / 7d
#documentairetele
0 uses · 0 accounts / 7d
#documentairehistoire
0 uses · 0 accounts / 7d
#documentairehistoirearte
0 uses · 0 accounts / 7d
#documentairr
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-20 00:03 UTC

Everything below is measured over the latest 40 public posts (spanning ~14033 hours).

Posting hours (UTC) — busiest: 19:00

00:0012:0023:00

Languages: English (39) · German (1)

Avg boosts / post: 0.1

Top of the latest posts

  • ScaleDown은 범용 토큰 생성 LLM 대신 작업별 제약 디코딩 모델을 내세운 Classify·Extract·Summarize·Compress API를 제공한다. 자연어로 라벨·추출 스키마를 정의하고, 최대 100만 토큰의 텍스트·이미지·스캔 문서를 단일 요청으로 처리해 JSON 추출, 요약, 문맥 압축을 수행할 수 있다고 설명한다. 입력 가격은 100만 토큰당 0.05달러이며, 자체 벤치마크 기준 기존 모델 대비 최대 2

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 12026-10-13 19:47 UTCView post →

  • via #AIFoundry : Azure Content Understanding Prebuilt Analyzers: packaging domain knowledge for document AI https://ift.tt/HDG85VL #AzureContentUnderstanding #PrebuiltAnalyzers #DocumentAI #StructuredExtraction #DomainKnowledge #LLMIntegrat

    Brandon H :csharp: :verified:@bc3tech@hachyderm.io♥ 0↻ 02026-10-13 16:36 UTCView post →

  • Rohan Paul (@rohanpaul_ai) ScaleDown이 반복적인 문서 처리 작업용 소형 결정 모델 3종(Classify, Extract, Summarize)을 공개했다. 최대 100만 토큰 컨텍스트와 이미지 입력을 지원해, 300페이지 PDF에서 마감일 추출처럼 생성형 글쓰기보다 분류·추출·요약에 적합한 에이전트 파이프라인 작업을 겨냥한다. https://x.com/rohanpaul_ai/status/2109988

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 12026-10-13 13:55 UTCView post →

#documentai across platforms

every network with a public tag surface

Follow #documentai straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/documentai