Kwaivgi Kling V1 Tts

Kwaivgi Kling V1 Tts

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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

Kling V1 TTS is a high-quality text-to-speech model that converts written text into natural, expressive audio. With multiple voice options and adjustable speed control, it produces lifelike speech perfect for voiceovers, content creation, and accessibility applications.


Why It Stands Out

  • Natural-sounding voices: Generate realistic speech with human-like intonation and expression.
  • Multiple voice options: Choose from a variety of voice profiles to match your content needs.
  • Speed control: Adjust speech rate to fit your pacing requirements.
  • Simple workflow: Just input text, select a voice, and generate audio instantly.
  • Cost-effective: Flat rate for short texts, scalable pricing for longer content.

Parameters

ParameterRequiredDescription
textYesThe text you want to convert to speech.
voice_idYesVoice profile to use (e.g., chat1_female_new-3).
speedNoSpeech rate multiplier (default: 1).

How to Use

  1. Enter your text — type or paste the content you want to convert to speech.
  2. Select a voice — choose from available voice profiles.
  3. Adjust speed (optional) — set speech rate (lower = slower, higher = faster).
  4. Click Run and wait for audio generation.
  5. Preview and download the result.

Best Use Cases

  • Voiceovers — Create narration for videos, presentations, and tutorials.
  • Content Creation — Generate audio versions of articles, blogs, and scripts.
  • Advertising — Produce voice content for ads, promos, and announcements.
  • Accessibility — Convert written content to audio for visually impaired users.
  • E-learning — Create spoken content for courses and educational materials.
  • Podcasts & Audiobooks — Generate draft narration or supplementary audio.

Pricing

Text LengthPrice
Up to 1000 characters$0.10
Beyond 1000 characters$0.10 per 1000 characters

Examples

  • 500 characters → $0.10 (minimum)
  • 1000 characters → $0.10
  • 2500 characters → 2.5 × $0.10 = $0.25
  • 5000 characters → 5 × $0.10 = $0.50

Pro Tips for Best Quality

  • Use proper punctuation — commas and periods help create natural pauses.
  • Break long content into shorter segments for better pacing.
  • Test different voice profiles to find the best match for your content.
  • Adjust speed based on content type — slower for educational, faster for energetic ads.
  • Avoid excessive abbreviations or special characters that may affect pronunciation.

Notes

  • Processing time varies based on text length and current queue load.
  • Please ensure your content complies with usage guidelines.

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'
{
  "text": "A clear example input",
  "voice_id": "genshin_vindi2",
  "speed": 1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v1-tts" \
  -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
done

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 ~ 2Speech 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.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (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

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
data.modelstringModel ID used for the prediction
data.outputsarray<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.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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