Is there a transcription API that sends speech-to-text output straight to an LLM?

Yes. Gladia’s Audio-to-LLM transcribes a recording and runs your own LLM prompts on the transcript in a single API call, so you can skip the separate STT + LLM pipeline entirely. You can also run several prompts on one sales call, turning it into an AI call summary, a CRM update, and action items at once, as shown in our meeting summaries tutorial.

Can an audio-to-LLM pipeline handle streaming audio?

Gladia’s Audio-to-LLM runs on async transcription of pre-recorded audio, not on live streams. For live calls, use real-time transcription during the call, then send the recording through the async API afterward for AI call analysis such as summaries, QA scoring, and extraction.

Which audio-to-LLM API is built for batch processing of recorded audio?

Gladia’s Audio-to-LLM is designed for pre-recorded or batch audio, combining transcription, diarization, and your LLM prompts in one processing job. That removes the second request per file, so there’s no two-step STT-to-LLM pipeline to build or maintain. The Audio-to-LLM docs cover setup and supported models.

Is there a secure transcription pipeline that integrates with LLMs?

Yes. Gladia runs transcription and LLM analysis in the same job and is SOC 2 Type 2, GDPR, HIPAA, and ISO 27001 compliant, as detailed in our compliance hub. Dedicated EU and US clusters keep your audio and transcripts in the region you choose.

What’s the difference between Audio-to-LLM and summarization?

Audio summarization returns a ready-made recap in one of three preset formats (general, concise, or bullet points) with no prompt required. Audio-to-LLM is built for deeper transcript analysis: you write custom prompts, choose the model, and define the output schema for tasks like QA scoring, compliance checks, and meeting action items. Both can run in the same request.

How is Audio-to-LLM different from an LLM gateway?

An LLM gateway gives you one API to reach many language models, but you still have to transcribe the audio, format the transcript, and make a second request. Audio-to-LLM combines transcription, diarization, and LLM analysis into one API call, so there’s no second hop.

How much does Audio-to-LLM cost?

Audio-to-LLM is priced on usage: the token cost of your chosen model plus a Gladia platform fee, on top of the async transcription rate. You’ll find per-model rates in the Audio-to-LLM docs and plan details on our pricing page.

Audio intelligence

Audio-to-LLM

Get structured data from any recording with Audio-to-LLM. Send one API call, pick from 400+ models on OpenRouter, and receive the transcript, speaker labels, and your prompt results together, ready for summaries, QA scores, or CRM fields.

Get your API keyGet your API key

50€

Transcription credits

Test Audio-to-LLM on your own recordings. No expiry, no credit card.

On real-life speech

9.6% WER on real conversational audio, the lowest among 8 providers.

100+

Languages

Accurate transcripts in every language, so your LLM never works from a garbled input.

Trusted by over 350,000 users and 2,000+ enterprise teams

Replace your STT-to-LLM pipeline
with one request

Audio-to-LLM is a more efficient alternative to building your own STT-to-LLM pipeline or routing transcripts through a separate LLM gateway. Transcription and LLM analysis run as one job: add a model and prompts to your request, and Gladia handles the rest.

DIY pipeline or vendor-specific LLM gateway compared with Gladia Audio-to-LLM
Criteria	DIY pipeline or vendor-specific LLM gateway	Gladia Audio-to-LLM
Workflow	Transcribe first, call the LLM second	One audio processing job
Transcript handling	You format and send the transcript	Handled inside the request
Speaker context	You add speaker labels to the prompt yourself	Diarization runs in the same request
Multiple outputs	You orchestrate each LLM call	Pass several prompts in one array
Vendors to manage	Two or more	One

Read about Audio-to-LLM

Add Audio-to-LLM in one request

Audio-to-LLM runs in the same async request as transcription. There is no second service to call, no transcript to store and resend, and no output to stitch back to the recording.

Send your recording

Upload a file or pass a URL to the async endpoint, with diarization turned on if you need speaker context.

Add your model and prompts

Set "audio_to_llm": true, then pass a model and a prompts array. Define any output format in the prompt, including strict JSON.

Get everything back together

Receive the transcript, speaker labels, and one result per prompt in the same JSON response or webhook.

Read the Audio-to-LLM docs

Use cases

What teams build with Audio-to-LLM

From one recording, Audio-to-LLM can return several outputs at once, each from its own prompt in the same request.

Meeting assistants

Extract action items with owners and deadlines, log decisions, flag blockers, and draft follow-up emails after every meeting.

Learn more →

Contact centers (CCaaS)

Score every call instead of a small sample, flag missed disclosures, and draft post-call notes automatically.

Learn more →

Audio-to-LLM in action

See how one pipeline handles three different recordings. Emma Genthon, FDE at Gladia, changes only the prompt, then swaps GPT-5.4 Nano for Mistral Medium 3.5 with one config line.

Get the prompts from the tutorial

Gladia’s real-time code-switching has been a real “wow” factor! Plus, the accuracy of transcription has been excellent.

Control your costs with model choice

Audio-to-LLM is usage-based: your async transcription rate, plus the token cost of your chosen model and a Gladia platform fee. Use a lightweight model for high-volume extraction and save larger models for the jobs that need them.

Starter

Flexible pay-as-you-go for moderate audio volumes. Get started immediately.

Async at $0.61/hr

Real-time at $0.75/hr

* 50€ in free credits

Get started

Growth

Lower unit pricing for fast-growing teams. Commit upfront to unlock savings.

Async as low as $0.20/hr

Real-time as low as $0.25/hr

* 67% less than Starter

Enterprise

Annual plan with custom models, fine-tuning, debundled pricing, and more.

Custom

Explore the pricing See per-model pricing in the docs

Turn your first recording into structured data

Start free with 50€ in credits, or book a demo to test Audio-to-LLM on your own audio.

FAQs

Yes. Gladia’s Audio-to-LLM transcribes a recording and runs your own LLM prompts on the transcript in a single API call, so you can skip the separate STT + LLM pipeline entirely. You can also run several prompts on one sales call, turning it into an AI call summary, a CRM update, and action items at once, as shown in our meeting summaries tutorial.
Gladia’s Audio-to-LLM runs on async transcription of pre-recorded audio, not on live streams. For live calls, use real-time transcription during the call, then send the recording through the async API afterward for AI call analysis such as summaries, QA scoring, and extraction.
Gladia’s Audio-to-LLM is designed for pre-recorded or batch audio, combining transcription, diarization, and your LLM prompts in one processing job. That removes the second request per file, so there’s no two-step STT-to-LLM pipeline to build or maintain. The Audio-to-LLM docs cover setup and supported models.
Yes. Gladia runs transcription and LLM analysis in the same job and is SOC 2 Type 2, GDPR, HIPAA, and ISO 27001 compliant, as detailed in our compliance hub. Dedicated EU and US clusters keep your audio and transcripts in the region you choose.
Audio summarization returns a ready-made recap in one of three preset formats (general, concise, or bullet points) with no prompt required. Audio-to-LLM is built for deeper transcript analysis: you write custom prompts, choose the model, and define the output schema for tasks like QA scoring, compliance checks, and meeting action items. Both can run in the same request.
An LLM gateway gives you one API to reach many language models, but you still have to transcribe the audio, format the transcript, and make a second request. Audio-to-LLM combines transcription, diarization, and LLM analysis into one API call, so there’s no second hop.
Audio-to-LLM is priced on usage: the token cost of your chosen model plus a Gladia platform fee, on top of the async transcription rate. You’ll find per-model rates in the Audio-to-LLM docs and plan details on our pricing page.