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Deepgram Nova 2 Video

Up to 30%

Deepgram Nova 2 Video brings speech-to-text speech-to-text to LLM.API for voice notes, calls, and caption pipelines.

Start Using API

What is Deepgram Nova 2 Video?

With Deepgram Nova 2 Video, LLM.API turns audio into text for product voice features. Speech-to-text model by Deepgram. The model id `nova-2-video` keeps STT alongside your other endpoints.

Providers

LLM.API routes Deepgram Nova 2 Video to the providers below, with discounted effective rates versus list price.

ProviderPricingContextCapabilities
deepgram30% offin $0.0043; out — per minute of audio——

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

Try this model

Test Deepgram Nova 2 Video right here — free to start.

Deepgram Nova 2 Video
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Deepgram Nova 2 Video 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="nova-2-video",
    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": "nova-2-video",
  "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. Relevant for `nova-2-video` 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.

  • Meeting capture

    Fits voice notes, calls, and meeting recording pipelines.

  • Multilingual audio

    Handles diverse accents and languages depending on the model. Tuned to how teams typically call Deepgram Nova 2 Video.

  • Downstream LLM prep

    Feeds transcripts into summarization and action-item extractors. Tuned to how teams typically call Deepgram Nova 2 Video.

6 Most Valuable Use Cases

  • Meeting notes and searchable recordings with Deepgram Nova 2 Video
  • Voice command capture in mobile apps
  • Clinical or field note dictation workflows with Deepgram Nova 2 Video
  • Call-center transcription and QA
  • Compliance recording text archives with Deepgram Nova 2 Video
  • Feeding voice input into LLM agents

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 Deepgram Nova 2 Video on LLM.API?

  • Unified AI Routing

    Reach Deepgram Nova 2 Video and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Compare provider price points and keep spend visible as you scale Deepgram Nova 2 Video.

  • Reliability Layer

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

  • Observability

    Practical: Trace prompts, tokens, and errors for Deepgram Nova 2 Video alongside the rest of your stack.

  • Drop-in SDKs

    Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

    Swap Deepgram Nova 2 Video for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • You will pipe transcripts into search or LLM summarization (Deepgram Nova 2 Video)
  • Voice is a primary input modality in your product (Deepgram Nova 2 Video)
  • You need speech-to-text for batch or streaming audio (Deepgram Nova 2 Video)

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

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 Deepgram Nova 2 Video.

  • 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 Deepgram Nova 2 Video?

    https://llmapi.ai/models/amazon-nova-2-video/

  • Does Deepgram Nova 2 Video 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.

  • Does Deepgram Nova 2 Video support streaming?

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

  • What is Deepgram Nova 2 Video?

    Speech-to-text model by Deepgram. On LLM.API it is addressed as `nova-2-video`.

  • How do I call Deepgram Nova 2 Video via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "nova-2-video" and your LLM.API key. See the code snippet on this page.

  • Can I use tools or structured outputs with Deepgram Nova 2 Video?

    Tooling support varies; for pure stt models, prefer the modalities listed rather than assuming chat tools.

  • What are limitations of Deepgram Nova 2 Video?

    Like other API models, Deepgram Nova 2 Video can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • Is Deepgram Nova 2 Video a chat model?

    No—Deepgram Nova 2 Video is categorized as a stt model. Use the matching API surface rather than assuming chat completions.

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