YouTube creators
Generate tag ideas from long-form transcripts before publishing.
Extract keywords and suggested YouTube tags from any pasted transcript. Local frequency analysis — nothing uploaded.
Paste transcript
Min word length (3)
Top N (40)
Extra stop words (comma separated)
Tokens
0
Unigrams
0
Tag chars
0 / 500
Suggested YouTube tags
Top unigrams
Top bigrams
Processed in your browser. Text never leaves your device.
Private by design
Files stay on your device
Instant results
No account or wait queue
Always free
No watermarks or paywall
Three steps to turn spoken text into tags and keyword lists.
Drop spoken text from a lecture, podcast, or YouTube video into the box.
Set minimum word length, top N, bigrams, and optional custom stop words.
Copy suggested YouTube tags under the ~500 character limit, or export a Markdown list.
Get SEO-ready tags from transcripts without sending content to a server.
Turn a transcript into ranked keywords and a comma-separated YouTube tags string.
No uploads, no AI API calls. Tokenization and frequency counts run in your browser.
Capture repeated two-word phrases that often make stronger tags than single words.
Suggested tags pack under the historic ~500 character Studio limit with a live counter.
Generate tag ideas from long-form transcripts before publishing.
Surface topic vocabulary from lecture transcripts for outlines and SEO.
Find recurring themes for show notes and episode titles.
Summarize full YouTube videos, then export notes, chapters, and study assets in Scribia.
Answers about privacy, limits, and how this free free transcript keyword extractor works.
No. Extraction runs entirely in your browser. Nothing is sent to Scribia servers.
No. It uses local tokenization, stop-word filtering, and frequency counts only.
Up to about 200,000 characters. Longer pastes are truncated for browser performance.
Yes. Free forever with no signup or watermark.
This tool ranks words locally. Scribia transcribes and summarizes videos, then helps you export tags and notes.