AI Talking Avatar API

An AI talking avatar API creates a speaking-character video using a portrait and audio or other documented inputs. It animates speech-related movement without requiring a new presenter recording for each clip. The supported controls depend on the selected avatar endpoint.

The current talking-avatar workflow uses one reference image and one driving audio file. Confirm the exact field names, accepted formats, limits and quality options on the model page. Prepare these assets before submitting the generation request.

Choose a clear face with suitable lighting and limited obstruction around the mouth. Avoid tiny faces, extreme crops and distracting overlaps. Test the intended portrait style and framing, because a model may handle a realistic photo and a stylized character differently.

When the avatar endpoint requires audio, first turn the script into speech with a compatible TTS model. Review pronunciation, pauses and pacing, then submit the generated audio with the portrait. This separates voice production from avatar animation and makes revisions easier.

Use clean speech with limited background noise and a clearly visible mouth in the source image. Test a short recording at a natural pace and inspect difficult sounds and pauses. Confirm that the audio length and file settings meet the model requirements.

The driving audio supplies the speech, while animation quality can vary by language, voice and speaking style. Test the actual recordings you intend to use. For translated versions, prepare suitable narration first and generate each clip through the documented workflow.

This task is for generated avatar video clips. Real-time streaming, conversational turn-taking and live avatar sessions are separate capabilities. Check the specific endpoint before designing a live interaction; an asynchronous video-generation result does not imply real-time support.

Compare available modes on the same portrait and audio. Review mouth alignment, facial stability, output detail and price rather than choosing only by the mode name. Use the model documentation for supported resolution and duration combinations.

Submit the model with its portrait and audio inputs through PoYo generation. Save task_id and obtain the completed output by status queries or a supported callback_url. Keep request settings and source assets together so users can regenerate a revised narration consistently.

Check the model billing unit, audio or output duration rules and selected quality mode. Short test clips help estimate the cost of a complete narrated project. Do not assume the starting rate applies to every quality setting or length.

Use portraits and recordings you have appropriate permission to use, and review the selected model and service terms for the project. Make the intended use clear to people providing their likeness or voice. A technically accepted upload does not establish permission or commercial rights.

Talking Avatar focuses on a portrait driven by speech audio. Motion Control transfers movement from a reference video to a character image. Choose based on the performance source and the movement needed, then compare the model-specific inputs and output quality.