Gemini 3.8 Flash-Lite TTS Serverless API
Expressive multilingual text-to-speech with two-speaker dialogue.
POST /v2/gemini-3.8-flash-lite-tts · submit + poll 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3import segmind
4
5# Async (v2): submit to the queue and block until COMPLETED.
6# run() returns the final result dict (600s deadline, 1.0s poll by default).
7result = segmind.run(
8 "gemini-3.8-flash-lite-tts",
9 text="Here we go — the final hundred of the women's 400. <short pause> Delgado's in lane four, half a stride back... can she find another gear? And she does! <gasp> She's flying now — 3, 2, meters to go — Delgado takes it! A new national record — 49.06! The Halden Arena is on its feet.",
10 voice_1="Puck",
11 style="live athletics commentary: start tense and measured, then build to an explosive, shouting climax at the finish",
12 temperature=1.1,
13)
14print(result["status"]) # COMPLETED
15print(result.get("output")) # model output (e.g. media URL)
16print(result["metrics"]["inference_time"]) # server compute seconds
17
18# --- Or submit + poll manually (track request_id, control the cadence) ---
19from segmind import SegmindClient, InferenceFailed, InferenceTimeout
20
21client = SegmindClient() # reads SEGMIND_API_KEY
22payload = {
23 "text": "Here we go — the final hundred of the women's 400. <short pause> Delgado's in lane four, half a stride back... can she find another gear? And she does! <gasp> She's flying now — 3, 2, meters to go — Delgado takes it! A new national record — 49.06! The Halden Arena is on its feet.",
24 "voice_1": "Puck",
25 "style": "live athletics commentary: start tense and measured, then build to an explosive, shouting climax at the finish",
26 "temperature": 1.1,
27}
28job = client.submit_async("gemini-3.8-flash-lite-tts", **payload)
29print(job.request_id) # available immediately
30try:
31 result = job.wait(timeout=600, interval=1.0)
32except InferenceTimeout as e:
33 print("still running:", e.request_id)
34except InferenceFailed as e:
35 print("failed:", e.detail) 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3import segmind
4
5# Async (v2): submit to the queue and block until COMPLETED.
6# run() returns the final result dict (600s deadline, 1.0s poll by default).
7result = segmind.run(
8 "gemini-3.8-flash-lite-tts",
9 text="Here we go — the final hundred of the women's 400. <short pause> Delgado's in lane four, half a stride back... can she find another gear? And she does! <gasp> She's flying now — 3, 2, meters to go — Delgado takes it! A new national record — 49.06! The Halden Arena is on its feet.",
10 voice_1="Puck",
11 style="live athletics commentary: start tense and measured, then build to an explosive, shouting climax at the finish",
12 temperature=1.1,
13)
14print(result["status"]) # COMPLETED
15print(result.get("output")) # model output (e.g. media URL)
16print(result["metrics"]["inference_time"]) # server compute seconds
17
18# --- Or submit + poll manually (track request_id, control the cadence) ---
19from segmind import SegmindClient, InferenceFailed, InferenceTimeout
20
21client = SegmindClient() # reads SEGMIND_API_KEY
22payload = {
23 "text": "Here we go — the final hundred of the women's 400. <short pause> Delgado's in lane four, half a stride back... can she find another gear? And she does! <gasp> She's flying now — 3, 2, meters to go — Delgado takes it! A new national record — 49.06! The Halden Arena is on its feet.",
24 "voice_1": "Puck",
25 "style": "live athletics commentary: start tense and measured, then build to an explosive, shouting climax at the finish",
26 "temperature": 1.1,
27}
28job = client.submit_async("gemini-3.8-flash-lite-tts", **payload)
29print(job.request_id) # available immediately
30try:
31 result = job.wait(timeout=600, interval=1.0)
32except InferenceTimeout as e:
33 print("still running:", e.request_id)
34except InferenceFailed as e:
35 print("failed:", e.detail)API Endpoint
https://api.segmind.com/v1/gemini-3.8-flash-lite-ttsParameters
textrequiredstringScript to speak, with inline cues like <laughs>, <sigh>, <short pause>; name-prefix each line for two speakers. Write non-English scripts in the target language.
"Here we go — the final hundred of the women's 400. <short pause> Delgado's in lane four, half a stride back... can she find another gear? And she does! <gasp> She's flying now — 3, 2, meters to go — Delgado takes it! A new national record — 49.06! The Halden Arena is on its feet."styleoptionalstringPlain-English delivery direction applied to every line, e.g. 'whispered urgently'. Use as the main expressiveness control; pair with temperature.
temperatureoptionalnumberExpressiveness from 0 to 2. Use 0.2-0.5 for steady narration, 0.8-1.4 for emotional or dramatic delivery.
0.4Range: 0 - 2voice_1optionalstringPrimary speaker voice, one of 30 named options. Try Puck or Fenrir for energetic reads, Enceladus for calm or whispered delivery.
"Kore""Kore""Puck""Charon""Zephyr""Fenrir""Leda""Orus""Aoede""Callirrhoe""Autonoe"+20 morevoice_2optionalstringOptional second speaker for two-person dialogue; leave empty for one voice. When set, prefix each of their lines with this voice name.
"Kore""Puck""Charon""Zephyr""Fenrir""Leda""Orus""Aoede""Callirrhoe""Autonoe"+20 moreResponse Type
Returns: Audio
Asynchronous requests (v2)
Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.
- 1
POST /v2/gemini-3.8-flash-lite-ttsSubmit — returns request_id, status_url, response_url
- 2
GET /v2/requests/{id}/statusPoll — until COMPLETED or FAILED
- 3
GET /v2/requests/{id}Result — final response body
Status states
- A FAILED request is served as HTTP 422 — the body still carries the error detail.
- An unknown or expired request_id returns HTTP 404.
- Results are retained for 1 hour, then expire.
- Content / RAI blocks surface as FAILED, not a separate state.
- Track completion by polling the status endpoint.
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out