StockmusicGPT

Designed for content creators, video producers, podcasters, game developers, and musicians who need original audio without the cost and complexity of licensing existing music or hiring composers, StockMusicGPT produces custom tracks from text descriptions, image inputs, or uploaded audio references within minutes.

The platform's generation capabilities span the full audio production workflow. Text-to-Music converts written descriptions of desired tracks into fully produced songs, allowing users to specify genre, mood, tempo, instrumentation, and energy level in natural language.

Image-to-Music takes a visual input and generates audio that captures the emotional tone and atmosphere of the imageuseful for creating soundscapes for visual media where the music should feel intrinsically connected to what viewers see.

Uploaded audio can be used as a style reference for generating new tracks that match an existing sonic aesthetic.

Post-generation tools extend StockMusicGPT's utility beyond initial creation. An AI Music Extension feature continues and expands generated or uploaded tracks beyond their original length, solving the common problem of music that is too short for the content it needs to score.

Stem Splitting separates any audio track into its component layersvocals, instruments, drums, bassenabling remixing, rebalancing, and post-production mixing of both AI-generated and uploaded music. Vocal Removal creates clean instrumental tracks from any song input.

Audio quality is a priority within StockMusicGPT's output pipeline. Generated tracks can be upscaled to 48kHz audio resolution for broadcast-quality delivery, and duration control allows precise specification of track length to eliminate the need for manual editing to fit audio to visual content.