AI Music

Generate, edit, and identify audio with AI. Create original royalty-free music tracks from a text description. Convert any text to natural-sounding speech with 30+ voices. Turn entire PDFs into narrated audiobooks. Write lyrics, remove vocals from tracks, transcribe speech, and identify instruments from photos or audio — all in one place.

AI Music

8 tools

Edit2

Work with existing audio files. Remove vocals from any track to create karaoke versions, isolate instrumentals for remixing, or separate stems for production. Transcribe spoken audio to accurate text for captioning, note-taking, and content repurposing.

Identify2

Identify musical instruments from images or audio recordings. Upload a photo of an instrument to get its name, family, and common uses. Or upload an audio clip to identify the instruments being played — useful for music education, sample clearance research, and instrument shopping.

Getting the most from AI audio tools

Audio AI tools reward specificity and intentional input. These four principles apply whether you're generating music or converting text to speech.

Describing music is a skill worth developing

Effective music generation prompts use concrete vocabulary: genre (lo-fi hip hop, cinematic orchestral, indie folk), tempo (BPM or descriptors like "up-tempo," "slow burn"), mood (melancholic, triumphant, tense), instrumentation (acoustic guitar, strings, synthesizer pads), and reference tracks ("in the style of Hans Zimmer"). The more specific, the more usable the result.

Voice selection changes everything in text to speech

The same script sounds dramatically different across voices. Choose voice based on your use case: warm and conversational for podcasts, clear and neutral for e-learning, authoritative and measured for corporate narration. Always preview multiple voices with a representative passage before committing to a full recording.

Vocal removal quality depends on the mix

AI vocal removal works by separating frequency layers. It performs best on tracks where vocals are clearly centered and instrumentals are well-separated. Live recordings, heavily processed vocals, or vocals buried in a complex mix may produce less clean separations than studio-produced tracks.

Royalty-free doesn't always mean copyright-free

AI-generated music is typically royalty-free for commercial use — you don't pay per play. But always check the terms of the specific tool. Some platforms retain rights for their training data outputs, or require attribution. If you're scoring a commercial film or releasing music professionally, review the license terms carefully.

Frequently asked questions

Can I use AI-generated music in YouTube videos without copyright issues?

AI-generated music from RauGen is royalty-free and cleared for use in YouTube videos, podcasts, and other content. YouTube's Content ID system does not flag AI-generated tracks the way it flags licensed commercial music. Always check the tool's specific license for any platform restrictions.

How long can a generated music track be?

Track length varies by tool and prompt. Most AI music generators produce tracks between 30 seconds and 4 minutes. For longer compositions, generate multiple sections with consistent style parameters and edit them together in a DAW like GarageBand, Audacity, or Adobe Premiere.

What file formats does the PDF to Audiobook tool support?

The PDF to Audiobook tool accepts standard PDF files including research papers, books, reports, and articles. It extracts text, organizes it into chapters where structure is detected, and generates narrated audio. Output is typically in MP3 format, ready for playback or further editing.

Can the speech-to-text tool handle different accents and languages?

Yes. The speech-to-text tool supports multiple languages and performs well across a range of accents. Accuracy is highest with clear, well-recorded audio. Heavy background noise, overlapping speech, or very strong accents may reduce accuracy — using a good microphone or noise-reduced audio improves results significantly.

Is AI-generated music good enough for professional projects?

For background music, social media content, app soundtracks, podcast intros, and corporate video scoring, AI-generated music is production-ready. For emotionally central music — a film score, an album, a live performance — it's best used as a starting point or reference rather than the final output.