Real customer calls, overlapping speakers, accents, languages switching mid-sentence — that's the audio ElevenLabs' cleanest benchmarks don't show you.
ElevenLabs Scribe is fast on clean, scripted audio like audiobooks, parliamentary recordings, or voice-cloning demos. Real customer calls are a different problem. On actual conversational speech, Gladia pulls dramatically ahead.
Gladia's speaker separation is roughly 5x more accurate than ElevenLabs. That’s the difference between a usable speaker-labeled transcript and one that needs manual cleanup.
Real conversations move between languages inside a sentence. Gladia's live transcription tracks the switch and translates as it happens, across all 100+ supported languages. ElevenLabs doesn't publish code-switching as a Scribe feature.
Summaries, sentiment, entities, translation, and LLM-ready output come back in the same API call, with your choice of 700+ models. ElevenLabs' LLM layer lives inside its separate Agents product — a different product, a different integration, a different bill.
Every claim on this page comes from Gladia's open benchmark suite, tested on real conversational datasets, not just clean demo audio.
Record, transcribe, and enrich in a single call. No separate capture provider, no bolt-on enrichment layer to build and maintain. One integration point instead of stitching together a voice stack.
All-inclusive, per-hour pricing covers diarization, entity recognition, and translation by default — no separate credit pools, and no add-on fees competing with other products in your budget.
Gladia is a French company, subject to GDPR and EU jurisdiction by default, not as a configured add-on. ElevenLabs offers EU data residency only as an Enterprise option. At Gladia, audio is never used to retrain models.
Speaker separation is tuned on real, messy audio rather than clean single-speaker recordings and is the best on the market with 2.8x lower diarization errors.
Teams that move their transcription workload from ElevenLabs to Gladia see sharper accuracy on real conversations, diarization and code-switching that work live, and a bill that isn't competing with their TTS spend.
Open methodology across Switchboard, DIHARD III, and real customer calls — not just clean demo audio.
Where Scribe wins on studio audio — and where Gladia wins on real conversations.
Gladia, Deepgram, AssemblyAI and more — compared for speech-to-text workloads.