Best Telegram bots for Music recognition

These Telegram bots identify a song from a short audio clip or a voice recording, similar to Shazam but working directly inside a chat, so you can send a voice message from a bar, a video, or even humming instead of opening a separate app.

The best Telegram bot for music recognition is AudD (@AudDBot): the bot of a real audio-recognition company identifies the song in a voice message, audio file or video, with a free tier. Shazam music bot (@shazambot) is the most-used song identifier on Telegram with over 230,000 people a month, and ACRCloud (@acrcloud_bot) is the demo bot of the company whose engine powers song-ID in many apps.

Checked September 4, 2026

8 botsRanked

Comparison

#BotPriceLanguagesInlineGroupsScore
1AudD @AudDBotFreemiumENnono68
2🎤︎ Shazam music bot @shazambotFreeENnono65
3finder Music @findmusicbotFreeENnono62
4ACRCloud @acrcloud_botFreeENnono59
5WhatSong @WhatSongBotFreeENnono53
6Recognize Song @recognizesongbotFreeENnono53
7Song ID @song_id_botFreeENnono53
8Shazamusic @MusicRecognitionBotFreeENnono53
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How we chose

We tested every bot with the same 4 audio samples: a clean 15-second clip of a popular song, a recording made in a noisy environment like a phone recording in a cafe, a fragment of an older or less mainstream track, and someone humming the melody instead of playing the actual recording. We checked accuracy, how fast the bot returned a match, and whether it linked to the track on a streaming service.

Full methodology →

Music recognition

How to choose a music-recognition bot

Test in a realistic setting, not a quiet room — record a song playing from a phone speaker in a normal-noise environment, since that's how most people actually use these bots, catching a song at a bar or in a passing car. A bot that only works with a clean studio-quality clip won't be much use in practice.

What breaks recognition accuracy

Background chatter, other music playing nearby, and a recording shorter than about 5–8 seconds are the most common reasons recognition fails, and this holds true across engines, not just weaker bots. Recognition also tends to be weaker on live performances, covers, remixes, and older or regionally specific tracks that aren't as well represented in matching databases as current mainstream hits.

Humming and free limits

A smaller number of bots can match a hummed or sung melody instead of an actual recording, which is a genuinely harder problem than matching audio fingerprints — don't assume every bot supports it just because it recognizes played music well. Free tiers typically cap you by number of recognition attempts per day, commonly 5–20, and most send the result as a track name and artist with a link to a streaming service rather than the audio file itself.

Frequently asked questions

Can the bot recognize a song if I just hum the melody?

Not every bot supports this — matching a hummed melody is harder than comparing to an actual recording, so check for this feature specifically.

Why didn't the bot recognize a song playing in a noisy place?

Background noise, chatter, and too short a recording are the most common causes — try capturing at least 8–10 seconds closer to the sound source.

How many times a day can I use music recognition for free?

The free limit is usually somewhere between 5 and 20 attempts per day — check the specific bot's description for the exact number.