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ElevenLabs Scribe v1

Up to 30%

Transcribe speech with ElevenLabs Scribe v1 on LLM.API—batch or streaming audio to text with the same developer surface as your other models.

What is ElevenLabs Scribe v1?

With ElevenLabs Scribe v1, LLM.API turns audio into text for product voice features. Speech-to-text model by Elevenlabs. The model id `scribe_v1` keeps STT alongside your other endpoints.


Providers

LLM.API routes ElevenLabs Scribe v1 to the providers below, with discounted effective rates versus list price.

ProviderPricingContextCapabilities
elevenlabs30% offin $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 v1 right here — free to start.

ElevenLabs Scribe v1
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call ElevenLabs Scribe v1 through the OpenAI-compatible API — STT via LLM.API (see docs for audio endpoints).

python
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_v1",
    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_v1",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Caption generation

    Produces base transcripts for subtitle workflows. Tuned to how teams typically call ElevenLabs Scribe v1.

  • Speech transcription

    Converts spoken audio into text for captions, notes, and search. Reflects speech-to-text positioning for this endpoint.

  • Voice UX input

    Powers voice-driven product interfaces and IVR handoffs. Relevant for `scribe_v1` workloads on LLM.API.

  • Compliance archives

    Creates text records of spoken interactions for audit trails. Reflects speech-to-text positioning for this endpoint.

  • Multilingual audio

    Handles diverse accents and languages depending on the model. Tuned to how teams typically call ElevenLabs Scribe v1.

6 Most Valuable Use Cases

  • Clinical or field note dictation workflows with ElevenLabs Scribe v1
  • Compliance recording text archives
  • Podcast and video caption drafts with ElevenLabs Scribe v1
  • Call-center transcription and QA
  • Voice command capture in mobile apps with ElevenLabs Scribe v1
  • Live captioning prototypes

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 v1 on LLM.API?

  • Unified AI Routing

    Reach ElevenLabs Scribe v1 and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Production: Compare provider price points and keep spend visible as you scale ElevenLabs Scribe v1.

  • Reliability Layer

    Production: Retry and route across configured providers when a single upstream blips.

  • Observability

    Production: Trace prompts, tokens, and errors for ElevenLabs Scribe v1 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

    Production: Swap ElevenLabs Scribe v1 for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • Voice is a primary input modality in your product (ElevenLabs Scribe v1)
  • You will pipe transcripts into search or LLM summarization (ElevenLabs Scribe v1)
  • You need speech-to-text for batch or streaming audio (ElevenLabs Scribe v1)

Avoid if...

  • You require guaranteed perfect transcripts for every accent without evaluation
  • 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

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 v1.

  • 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.

Frequently Asked Questions

  • What is the context length for ElevenLabs Scribe v1?

    Reported context for ElevenLabs Scribe v1 is See provider specs. Always verify the active provider row if multiple providers are listed.

  • What are limitations of ElevenLabs Scribe v1?

    Like other API models, ElevenLabs Scribe v1 can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • Where is the canonical page for ElevenLabs Scribe v1?

    https://llmapi.ai/models/scribe-v1/

  • When should I choose ElevenLabs Scribe v1?

    You will pipe transcripts into search or LLM summarization — especially when you specifically need ElevenLabs Scribe v1.

  • How do I call ElevenLabs Scribe v1 via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "scribe_v1" and your LLM.API key. See the code snippet on this page.

  • Which providers serve ElevenLabs Scribe v1?

    LLM.API currently lists: elevenlabs. Availability can vary by region and account.

  • Does ElevenLabs Scribe v1 support streaming?

    Streaming depends on the active provider; check the providers table on this page for flags.

  • What modalities does ElevenLabs Scribe v1 support?

    ElevenLabs Scribe v1 accepts audio and produces text according to its architecture metadata on LLM.API.

  • Is ElevenLabs Scribe v1 a chat model?

    No—ElevenLabs Scribe v1 is categorized as a stt model. Use the matching API surface rather than assuming chat completions.

  • How is ElevenLabs Scribe v1 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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