#multilanguageocr

Live, measured metrics for the hashtag #multilanguageocr 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 #multilanguageocr

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.

$5.00/ year · 16-character #name
Claim #multilanguageocr — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
1
Recent posts
Mastodon
—
Recent pace
Mastodon · last 1
0
Avg reactions / post
Mastodon · last 1
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-08 07:08 UTC
0
11-02
0
11-03
0
11-04
0
11-05
0
11-06
0
11-07
0
11-08

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 2026-11-08 07:08 UTC

No related tags with measured usage found for #multilanguageocr.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-08 07:08 UTC

Everything below is measured over the latest 1 public posts.

Posting hours (UTC)

00:0012:0023:00

Languages: English (1)

Avg boosts / post: 0

Top of the latest posts

  • Scripily – AI for Restoring and Transcribing Damaged Documents Scripily는 15세기부터 20세기 중반까지의 역사적 문서 복원과 전사에 특화된 AI 기반 OCR 서비스입니다. 98.1%의 높은 정확도로 희미해진 잉크, 고대 필기체, 역사적 서체를 인식하며 60개 이상의 고대 언어와 스크립트를 지원합니다. 역사학자, 연구자, 기록 보관소 등 역사 문서 디지털화와 연구에 최적화

    ainews@[email protected]♥ 0↻ 02026-05-08 17:37 UTCView post →

#multilanguageocr across platforms

every network with a public tag surface

Follow #multilanguageocr 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.

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/multilanguageocr