Thinksound takes a video file and produces contextual audio for it, filling in the sound that silent footage is missing. Instead of recording audio separately or licensing music, the model reads your clip alongside a written description and generates audio that fits the scene. This is practical for content creators, filmmakers, and marketers who regularly shoot footage without professional sound equipment. The model accepts three types of written input: a short caption naming the video's subject, a chain-of-thought description that spells out specific sounds you want, and a conditioning scale that sets how strictly the output follows your description. More denoising steps produce sharper, more defined audio. Setting a seed makes results reproducible, which is useful when you want to iterate without losing a version you liked. In a typical workflow, you upload the clip, write a one-line caption, optionally add a more detailed description of the audio, and generate. The output audio file drops into any video editor. If the first result isn't right, adjusting the written inputs and rerunning takes seconds.
Thinksound generates contextual audio directly from a video file, solving the problem of silent footage or mismatched sound that stalls video projects. On Picasso IA, you upload a clip, write an optional caption about the scene, and optionally add a chain-of-thought description to specify what the audio should sound like. The model processes your video and written input together to produce sound that fits the visual content, whether that means ambient noise, atmospheric music, or specific effects. It is built for creators who need working audio without recording studios or expensive licensing.
Do I need programming skills or technical knowledge to use this? No, just open Thinksound on Picasso IA, adjust the settings you want, and hit generate.
Is it free to try? Yes, Thinksound is free to run without a paid plan. Account-level usage limits may apply depending on your subscription tier.
How long does it take to get results? Most videos produce an audio track in under a minute. Longer clips or higher step counts take more time, but typical short-form content finishes quickly.
What output formats are supported? Thinksound returns a downloadable audio file compatible with standard video editors and audio tools. You can import it directly into your editing timeline.
Can I customize the output quality or style? Yes. Raise the denoising steps for higher quality audio, and adjust the conditioning scale to shift how closely the result follows your caption or reasoning input. Writing a more specific chain-of-thought description is the most direct way to shape the sound.
What happens if I'm not happy with the result? Rewrite the caption or chain-of-thought description and run it again. Each generation with a different seed produces a different audio track. Keeping the same seed lets you reproduce a result you want to revisit.
How many times can I run the model? You can run Thinksound as many times as you need, on the same video or on different clips.
Everything this model can do for you
Describe the audio in plain language and the model uses your reasoning to generate sound that fits the scene.
Add a short title or description so the model targets the right audio atmosphere for your video.
Fix a seed value to get the same audio track on repeated runs, useful for iterating on a strong result.
Increase denoising steps to produce cleaner, more detailed audio at the cost of slightly longer generation time.
Raise or lower the conditioning scale to shift between loose creative interpretation and strict adherence to your written description.
Receive a ready-to-download audio file that imports directly into any video editing timeline.
The model reads the visual content of your clip alongside your text inputs to generate audio that belongs in the scene.
Fast, automated workflow for video editors
