#transcriber

Live, measured metrics for the hashtag #transcriber 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 #transcriber

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.

$10.85/ year · 11-character #name
Claim #transcriber — $10.85/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
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Uses / 7 days
Mastodon
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Accounts / 7 days
Mastodon
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Recent posts
Mastodon
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Recent pace
Mastodon · last 0
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Avg reactions / post
Mastodon · last 0
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Reddit posts / month
Reddit search
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Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-12 15:31 UTC

No measured public usage for #transcriber in the last 7 days. That is a real result, and a good one to know: this hashtag is wide open right now. We show a dash before we ever show a made-up number. Browse the trending index for tags with live measurements.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-10-12 15:31 UTC

No related tags with measured usage found for #transcriber.

Live pulse

measured · Mastodon tag timeline · fetched 2026-10-12 15:31 UTC

No recent public posts found for #transcriber on Mastodon. Nothing measured, so nothing shown.

What “transcriber” means

Wikipedia

Transcriber is an open-source software tool for the transcription and annotation of speech signals for linguistic research. It supports multiple hierarchical layers of segmentation, named entity annotation, speaker lists, topic lists, and overlapping speakers. Two views of the sound pressure waveform at different resolutions may be viewed simultaneously. Various character encodings, including Unicode, are supported.

“Transcriber” on Wikipedia (CC BY-SA) →

#transcriber across platforms

every network with a public tag surface

Follow #transcriber 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/transcriber