Tellers

Tellers reframes video editing as a conversation. Instead of assembling clips by hand, you give the system a brief, a script or a folder of footage, and an editing agent breaks the job into steps: detecting cuts and beats, choosing or generating shots, writing captions, sourcing voice-over and music, then rendering the timeline live as it works. The important distinction is that Tellers does not hand you a flattened, locked video — every decision lands on an editable timeline, so a human editor can step in and adjust any cut, transition or audio layer afterwards.

A second pillar is model aggregation. The platform gives your subscription access to a broad set of third-party generative engines for video (Google Veo, OpenAI Sora, Runway, Lightricks LTX, Alibaba Wan, ByteDance Seedance and others), voice and dubbing (ElevenLabs), transcription (OpenAI Whisper), imagery and SVG graphics (GPT Image, Quiver, Pruna), plus music and sound effects. You also get a stock library and AI search across your own media. That means creators stop juggling separate subscriptions and credit balances per model, and instead spend one pool of tokens inside one editor.

Tellers is aimed at creators and studios that produce a lot of short-form and promotional video: talking-head edits, launch films, music videos, lyric videos, motion design, real-estate walkthroughs, interviews and article-to-video conversions. Beyond the web editor there are agents, skills, an MCP integration and a documented API, which makes it usable as a production layer inside a larger pipeline rather than only a browser tool. Plans are tiered by monthly token and storage allowance, and the pricing page pulls live plan details from inside the app.