#handwritingrecognition
Live, measured metrics for the hashtag #handwritingrecognition from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #handwritingrecognition
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 · mas.to (Mastodon public tags API) · fetched 2026-09-30 20:52 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-09-30 20:52 UTCNo related tags with measured usage found for #handwritingrecognition.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-30 20:52 UTCEverything below is measured over the latest 8 public posts (spanning ~23490 hours).
Posting hours (UTC)
Languages: English (7) · German (1)
Avg boosts / post: 0.8
Top of the latest posts
Tips or links for turning handwritten pages into pain text? I have access to boxes of ancestral diaries/journals in tiny script that I'd like to make more accessible to my family. Pretty sure Wes Bos wrote about using an LLM to help with th
Specifically, what I'd want and I am surprised might not exist is an on-screen keyboard that takes handwriting as input, for the #gnome desktop in #ubuntu. Seems like something that ought to exist, given the existence of tesseract-ocr and p
🤖✍️ So, the digital humanities finally cracked the code on handwriting recognition? Guess Dan Cohen is now the Indiana Jones of deciphering scribbles from the past. Meanwhile, AI is busy finding articles and artworks, like a glorified libr
#handwritingrecognition across platforms
every network with a public tag surfaceFollow #handwritingrecognition 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/handwritingrecognition