#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.
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-22 02:01 UTC7 uses by 4 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 2026-10-22 02:01 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-22 02:01 UTCEverything below is measured over the latest 40 public posts (spanning ~2030 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (28) · French (8)
Avg boosts / post: 0.5
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
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
RE: https://mastodon.social/@nttw/117439449413600361 Inspired by this #nttw10 session, I've updated whispervtt to calculate the average word probability of the output and add that to the FADGI metadata block as a local usage element. For an
#transcription across platforms
every network with a public tag surfaceFollow #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.
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