🗣️ Thai Text-to-Speech V3 (Kaitom Voice)
⚠️ Alpha Version Notice: This API is currently in alpha testing. The service may experience intermittent availability. For production use, please use TTS V2 (Stable) instead. V3 is FREE to use until 31 May 2026 during the alpha testing period.
Welcome to Thai Text-to-Speech API V3 featuring the all-new Kaitom Voice (น้องไข่ต้ม เวอร์ชั่น 3). This next-generation version delivers significantly improved speech naturalness with advanced text normalization, voice cloning support, and automatic Thai-English language handling.
What's New in V3
- Smart Text Normalization - Automatically handles numbers, dates, currency, and special characters
- Automatic Language Detection - No need to specify language mode, V3 handles Thai-English mixing automatically
- Extended Character Limit - Support for up to 10,000 characters per request
- Simplified JSON API - Clean JSON request body instead of form data
- High-Quality Audio - 24 kHz WAV output for professional applications
Try Demo — Default Voice (Kaitom)
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V3 automatically handles Thai-English mixed text. No language mode selection needed.
Natural range: 0.8 – 1.2. Default 1.0.
Try Demo — Voice Cloning (Thai)
🎁 FREE until 31 May 2026 ⚠️ ALPHAUpload an 8–12 second clean Thai voice clip with its literal transcript, and the model will speak your Thai text in that voice. Voice cloning is currently Thai-only.
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📋 How to use this demo
- Step 1: Record yourself (max 10 seconds) speaking any short Thai sentence — OR upload an existing Thai audio clip.
- Step 2: Type the exact Thai words you spoke into the "Reference Transcript" box. (Word-for-word — not a description.)
- Step 3: Type the new Thai text you want the cloned voice to say.
- Step 4: Click Generate Cloned Voice.
💡 Speak a natural Thai sentence such as: "สวัสดีครับ ผมชื่อไข่ต้ม วันนี้อากาศดีมาก". Recording will stop automatically at 10 seconds.
⚠️ This must match your recording word-for-word. Do not write a description like "เสียงผู้ชายพูดทักทาย" — write the actual sentence you spoke. The clone quality depends on this matching the audio exactly.