Koyal

Koyal (koyal.ai) is a San Francisco startup that describes itself as an "agentic AI filmmaking platform": it turns a script, a voice recording or a song into a film or music video with consistent characters and settings. It works audio-first, reading emotion, pacing and tone from the soundtrack and planning the shots around it, which makes it the clearest example of audio-to-video generation in its broad, storytelling form. It is also notable for building likeness consent into the product with a check called CHARCHA.

Company

Koyal was founded in 2025 by siblings Mehul Agarwal (chief executive) and Gauri Agarwal (chief technology officer), both Carnegie Mellon computer science alumni; Gauri Agarwal also lists MIT Media Lab and work on Instagram video at Meta. Y Combinator lists the company in its Fall 2025 batch, with a team of five as of October 2026. Koyal debuted publicly at the WAVES 2025 summit in Mumbai in May 2025 with an album of music videos made with Indian musicians, and opened a public beta in September 2025. The company says it has run paid pilots with music labels and film studios; its customer claims and its funding have not been independently confirmed.

How It Works

A user supplies a script or a voiceover, chooses or designs characters, picks a location or world and an art style, and Koyal produces a finished film for YouTube, social media or a pitch deck. Its YC profile lists:

  • emotional analysis of the audio, turned into cinematic scenes with consistent characters and settings;
  • visual storyboarding and editing through plain directions such as "make it more hopeful";
  • multilingual output and agentic lip-sync with movement;
  • consistency across several characters.

Turning a song into a film is less a single model than a planning problem, which is why such tools call themselves agentic. The audio is analyzed for words, beats, sections and emotional arc; shots are planned and timed to the music; characters are fixed with reference images; shots are generated with video models; and the edit is assembled against a soundtrack that must not change. That reverses ordinary editing, in which music is fitted to the picture. It also differs from the native audio that many text-to-video models now generate, where sound is created alongside the picture rather than supplied as the fixed starting point.

Before a person's likeness can be used to create a character, Koyal's CHARCHA check ("Computer Human Assessment for Recreating Characters with Human Actions"), which the company calls a character captcha, asks them to perform randomized live actions on a webcam, such as turning their head, squinting or smiling. The aim is to stop someone from uploading another person's photos. The method was described in a paper (Agarwal et al.) presented in the NeurIPS 2024 Creative AI track. It is a practical model of the likeness consent discussed in AI content labeling and deepfakes.

How It Compares

Koyal is too new, and too little documented, for a fair feature-by-feature comparison. Its nearest relatives are the narrow, talking-head form of audio-driven video, sold by avatar platforms such as Synthesia and HeyGen, and general creator platforms such as Higgsfield that wrap third-party video models in presets. Koyal differs in treating a finished recording, often one with an artist and rights attached, as the spine of the film. The usual limits of AI filmmaking apply: keeping characters consistent across many shots is hard, lip-sync on singing is harder than on speech, and generating pictures for a song does not license the song. For music-driven work, see also generative music and digital humans.

Further Reading