ElevenLabs Scribe v2
Up to 30%Transcribe speech with ElevenLabs Scribe v2 on LLM.API—batch or streaming audio to text with the same developer surface as your other models.
What is ElevenLabs Scribe v2?
ElevenLabs Scribe v2 is a speech-to-text model on LLM.API (`scribe_v2`). Speech-to-text model by Elevenlabs. Feed audio and receive text transcripts for captions, agents, and searchable archives.
Providers
LLM.API routes ElevenLabs Scribe v2 to the providers below, with discounted effective rates versus list price.
| Provider | Pricing | Context | Capabilities |
|---|---|---|---|
| in $0.0067; out — per minute of audio | — | — |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.
Try this model
Test ElevenLabs Scribe v2 right here — free to start.
Suggestions for your first prompt
Code snippet
Call ElevenLabs Scribe v2 through the OpenAI-compatible API — STT via LLM.API (see docs for audio endpoints).
from openai import OpenAI
client = OpenAI(
api_key="YOUR_LLMAP_KEY",
base_url="https://api.llmapi.ai/v1",
)
resp = client.chat.completions.create(
model="scribe_v2",
messages=[
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."},
],
)
print(resp.choices[0].message.content){
"model": "scribe_v2",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}5 Core Capabilities
Compliance archives
Creates text records of spoken interactions for audit trails.
Downstream LLM prep
Feeds transcripts into summarization and action-item extractors. Tuned to how teams typically call ElevenLabs Scribe v2.
Streaming recognition
Supports low-latency partial transcripts when the provider offers streaming STT.
Speech transcription
Converts spoken audio into text for captions, notes, and search. Tuned to how teams typically call ElevenLabs Scribe v2.
Meeting capture
Fits voice notes, calls, and meeting recording pipelines.
6 Most Valuable Use Cases
- Compliance recording text archives with ElevenLabs Scribe v2
- Meeting notes and searchable recordings
- Call-center transcription and QA with ElevenLabs Scribe v2
- Live captioning prototypes
- Feeding voice input into LLM agents with ElevenLabs Scribe v2
- Clinical or field note dictation workflows
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Intelligent AI Routing
Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.
One endpoint, every model. -
Cost-Aware Execution
Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.
More performance, less spend. -
Resilient Fallback Flows
Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.
Never go dark on users. -
Deep LLM Observability
Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.
See every token, everywhere. -
Task-Level Orchestration
Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.
Think tasks, not models. -
High-Throughput Batch APIs
Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.
Scale from 1 to millions.
Why run ElevenLabs Scribe v2 on LLM.API?
Unified AI Routing
Reach ElevenLabs Scribe v2 and sibling models through one OpenAI-compatible endpoint.
Cost Control
Compare provider price points and keep spend visible as you scale ElevenLabs Scribe v2.
Reliability Layer
Practical: Retry and route across configured providers when a single upstream blips.
Observability
Production: Trace prompts, tokens, and errors for ElevenLabs Scribe v2 alongside the rest of your stack.
Drop-in SDKs
Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Model Breadth
Practical: Swap ElevenLabs Scribe v2 for chat, media, or embedding alternatives without rewriting auth.
When to Use — When NOT to Use
Use it if...
- You need speech-to-text for batch or streaming audio (ElevenLabs Scribe v2)
- Voice is a primary input modality in your product (ElevenLabs Scribe v2)
- You will pipe transcripts into search or LLM summarization (ElevenLabs Scribe v2)
Avoid if...
- Your audio cannot leave your compliance boundary and you lack an approved provider path
- You need text-to-speech or chat generation instead of transcription
- You require guaranteed perfect transcripts for every accent without evaluation
COMMUNITY
What developers say about speech-to-text models
Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to ElevenLabs Scribe v2.
- Head-to-head tests of the leading APIs land within a point or two of each other; the choice usually comes down to language coverage, streaming latency and batch pricing.
- Voice-agent developers report streaming latency and endpointing quality matter more in production than headline word-error rates.
- Whisper-family models remain the default open baseline, with hosted providers winning on real-time features and diarization.
SOURCES
Frequently Asked Questions
What is the context length for ElevenLabs Scribe v2?
Reported context for ElevenLabs Scribe v2 is See provider specs. Always verify the active provider row if multiple providers are listed.
What modalities does ElevenLabs Scribe v2 support?
ElevenLabs Scribe v2 accepts audio and produces text according to its architecture metadata on LLM.API.
When should I choose ElevenLabs Scribe v2?
Voice is a primary input modality in your product — especially when you specifically need ElevenLabs Scribe v2.
What are limitations of ElevenLabs Scribe v2?
Like other API models, ElevenLabs Scribe v2 can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.
What is ElevenLabs Scribe v2?
Speech-to-text model by Elevenlabs. On LLM.API it is addressed as `scribe_v2`.
How do I call ElevenLabs Scribe v2 via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "scribe_v2" and your LLM.API key. See the code snippet on this page.
Where is the canonical page for ElevenLabs Scribe v2?
https://llmapi.ai/models/scribe-v2/
Is ElevenLabs Scribe v2 a chat model?
No—ElevenLabs Scribe v2 is categorized as a stt model. Use the matching API surface rather than assuming chat completions.
Does ElevenLabs Scribe v2 translate speech?
Primary behavior is transcription to text. Translation—if needed—should be a separate step with a chat model unless the provider explicitly offers it.
How is ElevenLabs Scribe v2 priced on LLM.API?
Listed pricing metadata shows: In $6.67 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.
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