Chatterbox Speech To Speech
Playground
Try it on WaveSpeedAI!Chatterbox Speech to Speech is a fast AI voice conversion model that converts source audio into a target voice style with optional reference audio guidance. Ready-to-use REST inference API for voice conversion, speech style transfer, dubbing, character voices, creator content, audio localization, and professional speech-to-speech workflows with simple integration, no coldstarts, and affordable pricing.
Features
Chatterbox Speech-to-Speech transforms a source audio clip into a target voice style using optional reference audio. It is suitable for voice conversion, style transfer, creator dubbing, character voice prototyping, and other speech-to-speech workflows where you want to preserve spoken content while changing vocal identity or delivery style.
Why Choose This?
-
Speech-to-speech conversion
Transform an existing speech recording into a different voice style. -
Optional reference voice guidance
Addreference_audiowhen you want the output to follow a particular vocal tone or character. -
Simple workflow
Upload source audio, optionally upload a reference voice sample, and generate the converted result. -
Useful for creator and dubbing workflows
Suitable for voice restyling, character voice tests, demo production, and spoken-content transformation. -
Production-ready API
Useful for narration replacement, voice experiments, content localization, and creative audio workflows.
Parameters
| Parameter | Required | Description |
|---|---|---|
| audio | Yes | Source audio to convert. |
| reference_audio | No | Optional reference audio used to guide the target voice style. |
How to Use
- Upload your source audio — provide the speech recording you want to transform.
- Upload reference audio (optional) — add a target voice sample if you want stronger style guidance.
- Submit — run the model and download the converted speech audio.
Example Use Case
Convert a spoken voice clip into a different vocal style for creator content, dubbing, or character voice testing.
Pricing
Just $0.02 per started minute.
Billing Rules
- Pricing is $0.02 per started minute
- Audio duration is billed in started 60-second units
- Audio shorter than 60 seconds is billed as 1 minute
reference_audiodoes not affect pricing
Example Costs
| Audio Duration | Cost |
|---|---|
| 1s–60s | $0.02 |
| 61s–120s | $0.04 |
| 121s–180s | $0.06 |
Best Use Cases
- Voice style transfer — Convert speech into a different vocal tone or identity.
- Character voice prototyping — Test alternative voice styles for characters or avatars.
- Creator dubbing — Rework spoken audio for short-form content or promos.
- Narration restyling — Preserve content while changing delivery feel.
- Speech workflow experiments — Compare different voice directions from the same recording.
Pro Tips
- Use clean source audio for better intelligibility.
- Add
reference_audioonly when you want stronger target voice guidance. - Use a clear reference sample with stable tone for more consistent conversion.
- Short clips are useful for testing before processing longer audio.
Notes
audiois required.reference_audiois optional.- Pricing is based on source audio duration and billed per started minute.
- Better source audio and cleaner reference audio generally improve output quality.
Related Models
- Chatterbox Text-to-Speech — Generate speech directly from text.
- Voice cloning workflows — Useful when you need a reusable custom voice identity instead of per-request voice guidance.
- Audio generation workflows — Useful when you need music or sound generation instead of speech conversion.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/chatterbox/speech-to-speech" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| audio | string | Yes | - | - | Source audio to convert. |
| reference_audio | string | No | - | - | Optional target voice reference audio. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |