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
Kling V1 Text-to-Speech
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
| Parameter | Required | Description |
|---|---|---|
| text | Yes | The text you want to convert to speech. |
| voice_id | Yes | Voice profile to use (e.g., chat1_female_new-3). |
| speed | No | Speech rate multiplier (default: 1). |
How to Use
- Enter your text — type or paste the content you want to convert to speech.
- Select a voice — choose from available voice profiles.
- Adjust speed (optional) — set speech rate (lower = slower, higher = faster).
- Click Run and wait for audio generation.
- 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 Length | Price |
|---|---|
| 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
# 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
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| text | string | Yes | - | - | The text to be converted to speech. the max length is 512 characters. |
| voice_id | string | Yes | genshin_vindi2 | genshin_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-v1 | Voice ID for audio generation. |
| speed | number | No | 1 | 0.8 ~ 2.0 | Speech speed. Range: 0.8-2.0, where 1.0 is normal speed. |
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 | Array of URLs to the generated content (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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (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 |