Autocaption is a video captioning model that reads the audio track of any video and generates timed, styled subtitles burned directly into the footage. The result is a finished, ready-to-share video file with captions already embedded, no separate editing software needed. This solves a real bottleneck for creators who produce content regularly and can't spend an hour on manual subtitling per video. You get precise control over how the captions look. Choose from a curated set of fonts including Poppins, Arial, and Atkinson Hyperlegible, then set the text color, stroke color, opacity, and a word-level highlight color. You can also control position (bottom, center, top, and more), characters per line, and font size, so the result fits your style whether you're making long-form videos or short reels. Autocaption fits into a video workflow as the last step before publishing. Run it on a finished recording, download the captioned video and the JSON transcript, and you're done. If the transcription needs corrections, edit the transcript file and feed it back in for a clean second run. It works for tutorials, social clips, podcast recordings, and any other video format.
Autocaption takes any video file and adds styled, burned-in subtitles without you having to type a single word. It transcribes the audio automatically, places the captions exactly where you want them on screen, and outputs a finished video file ready to share. If you post content on social media, run a YouTube channel, or create training videos, getting captions right matters and doing it manually is slow. Picasso IA makes the whole process a one-step job.
Do I need programming skills or technical knowledge to use this? No, just open Autocaption on Picasso IA, adjust the settings you want, and hit generate.
Is it free to try? Yes, you can run Autocaption without a paid subscription to test it on your own content.
How long does it take to get results? Most short to medium videos finish within a few minutes depending on file length. Longer recordings may take additional processing time.
Can I customize how the captions look? Yes. You control the font family, font size, text color, stroke color, stroke width, opacity, and the highlight color that marks the active spoken word.
What languages does the transcription support? The model transcribes speech from many spoken languages. You can also enable the translation toggle to output English captions regardless of what language is spoken in the video.
What if the auto-transcription makes mistakes? Enable the transcript output option on your first run. The model exports a JSON file you can edit manually, then re-upload it so the model uses your corrected text instead of re-transcribing from scratch.
Where can I use the output videos? The finished file has no watermarks and is ready to post on any platform or share with clients directly.
Everything this model can do for you
Converts speech to text automatically using built-in audio recognition.
Pick from multiple typefaces including Poppins, Arial, and Atkinson Hyperlegible.
Set caption color, stroke, opacity, font size, and highlight color independently.
Place subtitles at the bottom, center, top, or any preset zone of the frame.
Renders right-to-left captions correctly for Arabic and similar scripts.
Outputs a JSON transcript you can edit and reuse on a follow-up run.
Converts non-English speech to English captions in one step.
Adjustable font size, kerning, and background opacity
