
The most-used song-identification bot on Telegram by monthly users, styled after the familiar Shazam use case: send a clip and get a song name back.
Shazam music bot (@shazambot) leans on the universally understood "Shazam" shorthand for song identification — it is not affiliated with Shazam Entertainment Ltd, just using the name descriptively, as many independent recognition bots in this space do. With close to 237,000 monthly users it is the most active bot of this type in this list, which matters for a category where a stale, unmaintained bot simply stops recognising anything reliably.
The bot does not publish a detailed bio explaining its exact accepted formats, so the safest assumption is the category standard: send an audio clip or a voice message of a song playing and it replies with a match if it finds one. Being popular is a meaningful, if indirect, signal that the recognition actually works often enough for people to keep coming back.
As with any fingerprint-matching bot, results depend on audio clarity and how well-known the track is — a clean 10-15 second clip of a popular song has the best odds, while a muffled recording of something obscure may come back empty.
/startShow the welcome messageFree
| Criterion | Weight | Points | |
|---|---|---|---|
| Functionality | 25 | 6 / 10 | |
| Reliability & speed | 15 | 6 / 10 | |
| Popularity & trust | 15 | 7 / 10 | |
| Price & free tier | 10 | 9 / 10 | |
| Usability | 10 | 7 / 10 | |
| Safety & privacy | 10 | 6 / 10 | |
| Freshness | 5 | 6 / 10 | |
| Localization | 5 | 10 / 10 | |
| No intrusive ads | 5 | 6 / 10 | |
| Score | 100 | 67.5 |
No, it is an independent Telegram bot using the name descriptively for song identification, not affiliated with Shazam Entertainment Ltd.
A clean 10-15 second clip of the song gives the best chance of a match, based on how audio-fingerprinting recognition generally works.