Gladia vs AssemblyAI

AssemblyAI was built for the benchmark. Gladia was built for the call.

Real calls aren't clean audio. They're multilingual, overlapping, and unpredictable — which is exactly where Gladia beats AssemblyAI.

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Why teams switch

What “built for the call” actually means

Accuracy even when messy

Real customers don't sound like a benchmark. They talk over each other, trail off, call in on a bad connection. Gladia was built for that audio, not just the clean, scripted stuff that looks good in a demo.

  • Switchboard
  • −8.4 pts WER
  • Real conversations

WER on real conversations

0%
0%

Know who said what, every time

When two people talk over each other, most transcripts quietly get it wrong, throwing off coaching scores or corrupting a CRM entry. Gladia's diarization is the best on the market.

  • DIHARD III
  • 2.6× lower DER
  • Overlapping speech

Diarization error rate

0%
0%

Speak any language

Bilingual speakers switch languages mid-sentence. That's normal conversation, not an edge case. Gladia handles it live, in one model, with nothing to configure in advance.

  • 100+ languages
  • Code-switching
  • One model

Languages with live code-switching

0+
0

Every insight, one live pipeline

If you need to flag a frustrated customer or trigger a workflow in the moment, insights that only show up after the call has ended are too late. Gladia runs sentiment, summaries, and entity detection live.

  • Live sentiment
  • Summaries
  • Entities

Audio intelligence in the same call

Live
Async
Benchmarks

The numbers that matter

Every claim on this page comes from Gladia's open benchmark suite, tested on real conversational datasets, not just clean demo audio.

Conversational speech

Spontaneous telephone conversations. WER % — lower is better.

Diarization

Weighted avg. Diarization Error Rate across 10 domains — lower is better.

Real customer calls

English, async. Gladia's internal production dataset, human-annotated. WER % — lower is better.

Open ASR Leaderboard

Private track. Independent, third-party benchmark. The private dataset is never released, so no vendor can train on it — WER % results reflect true unseen-audio performance. Lower is better.

Language coverage

Real-time code-switching and translation, not just transcription.

Audio intelligence

Raw audio to structured, LLM-ready output in the same API call.

Infrastructure

Infrastructure you can build on

One call, not two systems

Real-time insight shouldn't require a second API call after the transcript lands. AssemblyAI's LeMUR runs against a finished transcript – a separate step, after the fact. Gladia transcribes and enriches in the same call, live.

Never trade speed for accuracy

AssemblyAI's streaming API asks you to pick a latency mode before a call even starts – trading speed against accuracy up front. Solaria-1 runs one real-time mode, code-switching included, with nothing to configure before you start.

EU-first data sovereignty

Gladia is subject to GDPR and EU jurisdiction by default, not as a configured add-on. We provide both EU and US clusters and we never use your audio to retrain models.

SOC 2 Type II, HIPAA, GDPR, ISO 27001, ISO 27701, HDS

Built for how you actually build now

Gladia publishes structured docs made for AI coding tools and agents, so an AI-assisted IDE or coding agent can integrate Gladia correctly without you hand-holding it through the API.

What we’ve heard from teams
migrating off AssemblyAI

Dozens of teams have shared their AssemblyAI migration stories with us. Anonymized for privacy, their feedback surfaces consistent, real-world pain points worth considering.

Data privacy concerns

“For European companies, all the data routes through the U.S. with AssemblyAI, and even if they don't store it, it still raises GDPR issues.”

Poor real-time accuracy

“Accuracy in real-time was never that good.”

Limited multilingual support

“They have limited support in terms of real-time languages.”

Poor language detection

“We tested AssemblyAI and noticed strange transcription artifacts. For example, when transcribing Slovak audio, it frequently mixed in Czech forms. It made the result difficult to read.”

Technical performance issues

“We weren't happy with Assembly's latency or endpoint detection. Accuracy was fine for general use, but the real-time detection made it frustrating to work with.”

Don’t just switch. Upgrade.

Teams that migrate from AssemblyAI stop configuring latency modes, stop paying per-feature for diarization, and get real-time coverage across 100+ languages.

Library

Related Resources

Benchmarks

See STT performance against 8 leading providers

Open methodology across Switchboard, DIHARD III, and real customer calls — not just clean demo audio.

Read more →
Comparison

AssemblyAI Review 2026

Strengths, gaps, and when AssemblyAI is still the right fit — plus where Gladia wins on real conversations.

Read more →
Pricing

AssemblyAI pricing: worth it?

What you pay for on the base rate — and what diarization, sentiment, and dual-channel billing add on top.

Read more →

FAQs