Tracks by Pixazo Officially Launching at India’s AI Impact Summit
AI Song & Music Generation Model for Hindi, Punjabi, and Other Regional Languages.
Tracks - AI Song and Music Generator from Pixazo
Explore APIChoose an AI palette for artistic style.
Tracks
Generate unique lyrical tracks
Describe your vision for AI to illustrate.
Lyrics text for vocal music. Use \"[Instrumental]\" for instrumental tracks. Supports multiple languages.
Tracks — AI Song & Music Generator
AI-powered music generation for Hindi, Punjabi, and other regional languages. Create original vocal tracks and instrumentals.
Regional Language Support
Full vocal synthesis with Devanagari lyrics input. Native pronunciation model trained on Hindi phonetics. Supports Bollywood, pop, and folk vocal styles with authentic Hindi vocal characteristics.
Gurmukhi script input with Punjabi-specific vocal patterns. Suited for Bhangra, modern Punjabi pop, and folk music styles common in the Indian and diaspora music markets.
Standard English lyrics with natural vocal synthesis. Works across all supported genres and styles. Pronunciation follows General American English patterns by default.
Additional regional language support beyond Hindi and Punjabi. Consult documentation for a complete list of supported language codes and scripts.
Generator Form Fields
Describe your vision for AI to illustrate
Lyrics text for vocal music. Use '[Instrumental]' for instrumental tracks. Supports multiple languages.
Lyrics Structure Tags
Music Style & Genre
Bollywood
Orchestral arrangements with tabla, sitar accents, and layered string sections. The model applies Bollywood-style production patterns including characteristic melody structures and bridge transitions.
Pop
Modern pop production with synth pads, clean drums, and standard verse-chorus-verse structure. Works in all supported languages. The most broadly applicable genre selection.
Hip-Hop
Beat-focused production with 808-style bass, trap hi-hats, and rhythmic vocal delivery. Lyrics benefit from shorter, punchier lines with internal rhyme patterns for best results.
Lo-fi
Relaxed production with vinyl crackle textures, soft piano or guitar loops, and understated beats. Best suited for background music, study playlists, or ambient vocal tracks.
Folk
Acoustic instrumentation with regional flavor. Hindi and Punjabi folk styles use traditional instruments, while English folk applies acoustic guitar and minimal production.
EDM
Electronic dance production with heavy bass drops, synth leads, and build-up/release patterns. Lyrics tags interact differently with EDM — [Chorus] triggers the drop rather than a traditional vocal chorus.
Who It's For
Honest Limitations
- 01
No multi-language mixing. You cannot mix Hindi and English lyrics in a single track. Each generation must use one language throughout. Code-switching or bilingual lyrics are not supported.
- 02
Vocal quality varies by language. English vocal synthesis is the most refined. Hindi is close behind. Punjabi and other regional language vocals may sound less natural in complex melodic passages due to smaller training datasets for these languages.
- 03
No voice cloning or custom voice selection. You cannot upload a voice sample or choose a specific vocal timbre. The model assigns a voice based on the lyrics, language, and genre. You have no direct control over whether the voice sounds male, female, or specific in tone.
- 04
Pronunciation errors occur. Even in supported languages, unusual words, proper nouns, and brand names may be mispronounced. There is no phonetic override or pronunciation guide input available.
- 05
Song duration is capped. Generated tracks have a maximum duration limit. Very long lyrics will be truncated, and songs cannot be extended beyond the model's output ceiling.
- 06
Genre interpretation is generic. Asking for niche sub-genres (e.g., "Sufi qawwali fusion jazz") produces a broad approximation rather than an authentic representation. The model works best with mainstream genre labels.
- 07
No instrumental isolation or stem export. The output is a single mixed audio file. You cannot separately download vocals, drums, bass, or other instrument stems from the generated track.
- 08
Character limits on inputs. Music Style has a 1000-character limit. Lyrics input has no explicitly displayed character limit but very long inputs may be truncated during generation.
Frequently Asked Questions
What languages does Tracks support for AI music generation?
Tracks supports Hindi, Punjabi, English, and other regional languages. Each language has its own vocal model trained on native pronunciation patterns. You select the language before writing lyrics. Multi-language mixing within a single track is not currently supported.
How do lyrics tags like [Verse] and [Chorus] work in Tracks?
Lyrics tags are bracket-enclosed markers placed at the beginning of each song section. [Verse] tells the model to generate a verse-style passage, [Chorus] triggers higher-energy chorus production, [Bridge] creates contrast, [Outro] winds down the track, and [Intro] creates an instrumental opening. The model adjusts melody, instrumentation, and energy level based on these tags.
Can I generate instrumental music without vocals?
Yes. Use the [Instrumental] tag in your lyrics field to generate purely instrumental tracks. Provide a detailed description in the Music Style field to shape the instrumental composition (e.g., "ambient lo-fi with jazz piano and strings"). The model will create music without vocals based on your style description.
Is Tracks developed by Pixazo or a third-party provider?
Tracks is Pixazo's own model, developed and maintained in-house. Unlike other models on the platform (such as models by third-party providers), Tracks is built by Pixazo itself and not accessed through a partnership layer.
Can I use Tracks-generated music commercially?
Commercial usage rights depend on your Pixazo subscription tier. Check Pixazo's terms of service for the specific licensing terms that apply to your plan. Note that AI-generated music rights may differ from AI-generated image or video rights on the same platform.
What music genres does Tracks support?
Tracks supports Bollywood, Pop, Hip-Hop, Lo-fi, Folk, and EDM genres. You specify the genre through a text description in your Music Style prompt. The model interprets genre descriptions to shape instrumentation, tempo, and arrangement. Very niche or fusion genre requests produce broad approximations rather than authentic representations.
