#transcription

Live, measured metrics for the hashtag #transcription 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 #transcription

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 · 13-character #name
Claim #transcription — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
3
Uses / 7 days
Mastodon
3
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
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 2026-10-18 17:51 UTC
0
10-12
2
10-13
1
10-14
0
10-15
0
10-16
0
10-17
0
10-18

3 uses by 3 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 2026-10-18 17:51 UTC
#transcriptions
1 uses · 1 accounts / 7d
#AudioTranscription
0 uses · 0 accounts / 7d
#SmithsonianTranscriptionCenter
0 uses · 0 accounts / 7d
#interviewTranscription
0 uses · 0 accounts / 7d
#transcriptionalreprogramming
0 uses · 0 accounts / 7d
#transcriptiontermination
0 uses · 0 accounts / 7d
#transcriptionforviolinandchamberorchestra
0 uses · 0 accounts / 7d
#transcriptionsucks
0 uses · 0 accounts / 7d
#transcriptionforpianoforfourhands
0 uses · 0 accounts / 7d
#transcriptionsforrecorderandharpsichord
0 uses · 0 accounts / 7d
#transcriptionforviolinandpiano
0 uses · 0 accounts / 7d
#transcriptionsforpiano
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-18 17:51 UTC

Everything below is measured over the latest 40 public posts (spanning ~2259 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (29) · French (10) · Russian (1)

Avg boosts / post: 0.3

Top of the latest posts

  • #askFedi Do you know of speech-to-text live transcription models that: 1. perform OK for lightly technical English speech, in near-real-time, 2. have available (ideally libre/open-source) training data, libre/open-source training code, libr

    Oliver Geer@[email protected]♥ 3↻ 12026-09-26 19:09 UTCView post →

  • I’m currently tinkering with an idea: An offline dictation app for Linux that transcribes spoken language using Whisper and optionally refines it using a locally running model (“Enhance” step: smooth out grammar, remove filler words). 😁 As

    Stefan@[email protected]♥ 1↻ 12026-09-02 05:51 UTCView post →

  • AssemblyAI (@AssemblyAI) 음성 트랜스크립션 작업에서 항상 프런티어 모델을 쓸 필요는 없다는 비용·품질 분석이다. 15분 이하 오디오에서는 최고 점수 모델과 품질 차이가 2점 이내인 대안 모델이 시간당 비용을 50~85배 낮출 수 있으며, 1시간짜리 긴 트랜스크립트에서는 비용 격차가 약 3배로 줄어든다. 작업 길이별 모델 라우팅·비용 최적화에 참고할 만하다. https://x.com/AssemblyAI/sta

    ainews@[email protected]♥ 0↻ 12026-10-14 14:55 UTCView post →

#transcription across platforms

every network with a public tag surface

Follow #transcription 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/transcription