Bonus: Top up now and we'll double your first deposit — get x2 credits instantly.
Get Started
Sign Up
Sign Up

AssemblyAI Universal Streaming (English)

Up to 30%

Transcribe speech with AssemblyAI Universal Streaming (English) on LLM.API—batch or streaming audio to text with the same developer surface as your other models.

Start Using API

What is AssemblyAI Universal Streaming (English)?

With AssemblyAI Universal Streaming (English), LLM.API turns audio into text for product voice features. Streaming speech-to-text model by Assemblyai. The model id `universal-streaming-english` keeps STT alongside your other endpoints.

Providers

LLM.API routes AssemblyAI Universal Streaming (English) to the providers below, with discounted effective rates versus list price.

ProviderPricingContextCapabilities
assemblyai30% offin $0.0025; out — per minute of audio——

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.

Try this model

Test AssemblyAI Universal Streaming (English) right here — free to start.

AssemblyAI Universal Streaming (English)
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call AssemblyAI Universal Streaming (English) 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="universal-streaming-english",
    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": "universal-streaming-english",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Streaming recognition

    Supports low-latency partial transcripts when the provider offers streaming STT.

  • Multilingual audio

    Handles diverse accents and languages depending on the model. Relevant for `universal-streaming-english` workloads on LLM.API.

  • Caption generation

    Produces base transcripts for subtitle workflows. Relevant for `universal-streaming-english` workloads on LLM.API.

  • Compliance archives

    Creates text records of spoken interactions for audit trails. Grounded in the model's stt role rather than generic chat claims.

  • Downstream LLM prep

    Feeds transcripts into summarization and action-item extractors. Relevant for `universal-streaming-english` workloads on LLM.API.

6 Most Valuable Use Cases

  • Feeding voice input into LLM agents with AssemblyAI Universal Streaming (English)
  • Meeting notes and searchable recordings
  • Live captioning prototypes with AssemblyAI Universal Streaming (English)
  • Compliance recording text archives
  • Clinical or field note dictation workflows with AssemblyAI Universal Streaming (English)
  • Call-center transcription and QA

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 AssemblyAI Universal Streaming (English) on LLM.API?

  • Unified AI Routing

    Production: Reach AssemblyAI Universal Streaming (English) and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Practical: Compare provider price points and keep spend visible as you scale AssemblyAI Universal Streaming (English).

  • Reliability Layer

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

  • Observability

    Production: Trace prompts, tokens, and errors for AssemblyAI Universal Streaming (English) 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

    Swap AssemblyAI Universal Streaming (English) 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 (AssemblyAI Universal Streaming (English))
  • Voice is a primary input modality in your product (AssemblyAI Universal Streaming (English))
  • You will pipe transcripts into search or LLM summarization (AssemblyAI Universal Streaming (English))

Avoid if...

  • Your audio cannot leave your compliance boundary and you lack an approved provider path
  • You require guaranteed perfect transcripts for every accent without evaluation
  • You need text-to-speech or chat generation instead of transcription

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 AssemblyAI Universal Streaming (English).

  • 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

  • Where is the canonical page for AssemblyAI Universal Streaming (English)?

    https://llmapi.ai/models/universal-streaming-english/

  • What is the context length for AssemblyAI Universal Streaming (English)?

    Reported context for AssemblyAI Universal Streaming (English) is See provider specs. Always verify the active provider row if multiple providers are listed.

  • Does AssemblyAI Universal Streaming (English) support streaming?

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

  • Does AssemblyAI Universal Streaming (English) 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.

  • Which providers serve AssemblyAI Universal Streaming (English)?

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

  • How do I call AssemblyAI Universal Streaming (English) via API?

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

  • What are limitations of AssemblyAI Universal Streaming (English)?

    Like other API models, AssemblyAI Universal Streaming (English) 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 AssemblyAI Universal Streaming (English)?

    Streaming speech-to-text model by Assemblyai. On LLM.API it is addressed as `universal-streaming-english`.

  • How is AssemblyAI Universal Streaming (English) priced on LLM.API?

    Listed pricing metadata shows: In $2.5 / 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.

COMPARE

Competitive Models

Get one key to every model

Swap your API key. Keep your code.

Start for free Talk to sales