#transcribe
Live, measured metrics for the hashtag #transcribe from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #transcribe
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.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-10 14:38 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-11-10 14:38 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-10 14:38 UTCEverything below is measured over the latest 40 public posts (spanning ~33851 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (33) · Japanese (2) · Romanian (1) · Italian (1) · French (1) · German (1)
Avg boosts / post: 0.9
Top of the latest posts
Perhaps the fediverse can help - need to #transcribe several #Indonesian language interviews. No idea what transcription tool works best for #BahasaIndonesia. Anyone here have a suggestion? #advice #tools #transcription #transcribing
I #transcribe #podcasts if you need that service. http://katherinemontalto.com/podcast-services/
Some #FavoriteTools #perplexity.ai for thoughtful web queries. (Shows reasoning and references.) #Vim for #TextEditing #Firefox w/ #Tridactyl #uBlockOrigin #Raindrop for #Tagging and #Bookmarking web pages #Inoreader #RSS reader #Pandoc for
What “transcribe” means
Wiktionarytranscribe/trænˈskɹaɪb/
- verbTo convert a representation of language, typically speech but also sign language, etc., to another representation. The term now usually implies the conversion of speech to text by a human transcriptionist with the assistance of a computer for word processing and sometimes also for speech recognition, the process of a computer interpreting speech and converting it to text.
#transcribe across platforms
every network with a public tag surfaceFollow #transcribe 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/transcribe