WaveSpeedAI APIKwaivgiKwaivgi Kling V1 Tts

Kwaivgi Kling V1 Tts

Kwaivgi Kling V1 Tts

Playground

Try it on WavespeedAI!

Kling V1 TTS creates natural-sounding audio and supports KlingAI image, video, sound effect, virtual model, and custom AI workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Generate audio with KlingAI’s AI toolkit. Features image creation, video generation, sound effects, virtual models, and custom AI tools, Your request will cost $0.1 per 1000 characters.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v1-tts" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "voice_id": "genshin_vindi2",
    "speed": 1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
textstringYes--The text to be converted to speech. the max length is 512 characters.
voice_idstringYesgenshin_vindi2genshin_vindi2, zhinen_xuesheng, AOT, ai_shatang, genshin_klee2, genshin_kirara, ai_kaiya, oversea_male1, ai_chenjiahao_712, girlfriend_4_speech02, chat1_female_new-3, chat_0407_5-1, cartoon-boy-07, uk_boy1, cartoon-girl-01, PeppaPig_platform, ai_huangzhong_712, ai_huangyaoshi_712, ai_laoguowang_712, chengshu_jiejie, you_pingjing, calm_story1, uk_man2, laopopo_speech02, heainainai_speech02, reader_en_m-v1, commercial_lady_en_f-v1, tiyuxi_xuedi, tiexin_nanyou, girlfriend_1_speech02, girlfriend_2_speech02, zhuxi_speech02, uk_oldman3, dongbeilaotie_speech02, chongqingxiaohuo_speech02, chuanmeizi_speech02, chaoshandashu_speech02, ai_taiwan_man2_speech02, xianzhanggui_speech02, tianjinjiejie_speech02, diyinnansang_DB_CN_M_04-v2, yizhipiannan-v1, guanxiaofang-v2, tianmeixuemei-v1, daopianyansang-v1, mengwa-v1Voice ID for audio generation.
speednumberNo10.8 ~ 2.0Speech speed. Range: 0.8-2.0, where 1.0 is normal speed.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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