ByteDance Seed: Seed Audio 1.0

ByteDance Seed: Seed Audio 1.0 is an audio generation model from ByteDance Seed, the research arm behind ByteDance's Seed family of models. It sits in the speech category and is described by its provider as a non-streaming audio generation model. In other words, it is built for turning text into audio rather than for transcribing audio or holding a spoken conversation. If you are evaluating it, the key thing to understand up front is that it is a generation model, not a speech recognition or chat model.

The model takes a natural-language text prompt as its only input and produces speech and other audio as its output. The prompt is not limited to the words you want spoken; it can also describe the desired voice, tone, and sound, which means the same text can be rendered in different ways depending on how you write the prompt. Generation is non-streaming, so you receive the finished audio rather than a live stream of chunks. No context length is published for this model, so plan around the prompt itself rather than assuming a large token budget.

Because the input is a prompt that can carry both the script and a description of the delivery, the practical uses follow from that. You can generate spoken lines with a particular voice or tone for narration, character dialogue, or voiceover work. You can also generate non-speech audio by describing the sound you want, which makes the model useful for quick sound design sketches or for producing audio assets that would otherwise need recording or a separate synthesis tool. Any workflow where you have text and want audio out, and where you are happy to wait for a complete file rather than stream it, is a reasonable fit.

You call the model through api14's OpenAI-compatible API using the model id "bytedance-seed/seed-audio-1-0". Because the interface follows the OpenAI format, you can point an existing OpenAI client at api14 and send a request with that id in the model field. The model accepts text input and returns audio output. No request parameters beyond the basics are listed as supported for this model, so keep your requests simple and put the voice, tone, and sound direction into the prompt text itself rather than into separate parameters.

There are a couple of cases where another model may suit you better. If you need audio as it is produced, this model is non-streaming, so a streaming speech model would be the better choice. If your task is to transcribe or understand audio rather than create it, you need a speech recognition model, since Seed Audio 1.0 only accepts text and only outputs audio. And if you need a published context window to plan long prompts against, that figure is not available here, so a model with documented limits may be easier to reason about.