Real calls aren't clean audio. They're multilingual, overlapping, and unpredictable — which is exactly where Gladia beats AssemblyAI.
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.
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.
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.
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.
Every claim on this page comes from Gladia's open benchmark suite, tested on real conversational datasets, not just clean demo audio.
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.
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.
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.
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.
Dozens of teams have shared their AssemblyAI migration stories with us. Anonymized for privacy, their feedback surfaces consistent, real-world pain points worth considering.
“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.”
“Accuracy in real-time was never that good.”
“They have limited support in terms of real-time languages.”
“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.”
“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.”
Teams that migrate from AssemblyAI stop configuring latency modes, stop paying per-feature for diarization, and get real-time coverage across 100+ languages.
Open methodology across Switchboard, DIHARD III, and real customer calls — not just clean demo audio.
Strengths, gaps, and when AssemblyAI is still the right fit — plus where Gladia wins on real conversations.
What you pay for on the base rate — and what diarization, sentiment, and dual-channel billing add on top.