vsref

12 Best Gladia Alternatives (2026)

Gladia is speech-to-text api from french company gladia that turns recorded or live audio into text in 100+ languages, with speaker labels and translation.. Teams that switch usually cite price at production volume, streaming latency for live agents, self-hosting and license control. The alternatives below are ranked by published head-to-head verdicts, not sponsorship.

Not ready to switch? Full Gladia review →

If you sign up through links on this page, vsref may earn a commission; programs exist on both sides of most comparisons, and commissions never change verdicts. How we make money

Reviewed by vsref Editorialfacts verified Sep 23, 2026Methodology →

Where to switch, by reason

Switching because of price at production volume →see Azure AI Speech (STT)
Switching because of streaming latency for live agents →see Cartesia Ink
Switching because of self-hosting and license control →see Mistral Voxtral Transcribe
Switching because of dictation →see Moonshine
Switching because of medical →see AssemblyAI
Developer-first realtime STT API for voice agents and transcription at scalevs Gladia: about half the languages.Best if you need: call centers, developers, medical, voice agents
Accuracy-led voice AI API for developers and voice agentsBest if you need: call centers, developers, meetings, voice agents
Low-cost pay-as-you-go file transcription from OpenAI; no first-party streaming or diarizationvs Gladia: about half the languages.Best if you need: developers, self-hosted
AWS-native STT API with deep AWS ecosystem integration and compliance coveragevs Gladia: ~10% more languages.
AI-native system-wide dictation (YC W24) with a developer speech API (Avalon)vs Gladia: about half the languages.
Enterprise-grade STT inside the Azure cloud ecosystemvs Gladia: ~45% more languages.
Streaming STT for voice agents with native turn detection
Enterprise-grade open ASR for accurate batch transcriptionvs Gladia: about half the languages.
Low-cost hosted ASR inference
Distilled Whisper: near-Whisper accuracy at a fraction of the size and up to 6x the speed, English-only, MIT-licensedvs Gladia: about half the languages.
Accuracy-led STT API from the leading AI audio companyvs Gladia: ~10% fewer languages.
The de facto local Whisper runtimes: faster-whisper (Python/CTranslate2) and whisper.cpp (C/C++)
All 46 speech-to-text apis alternatives
Open-source industrial ASR toolkitvs Gladia: about half the languages.
Hyperscaler STT API with Chirp foundation models and enterprise compliancevs Gladia: ~25% more languages.
Flagship GPT-4o based transcription API from OpenAIvs Gladia: about half the languages.
Low-latency STT for voice agentsvs Gladia: about half the languages.
Low-cost hosted STT API on the Grok stackvs Gladia: about half the languages.
Ultra-fast, low-cost hosted Whisper transcription API (no realtime streaming)
Private local-first open-source dictation
See pricingVisit Handy →
Enterprise cloud STT APIvs Gladia: about half the languages.
Whisper-based STT endpoint inside an indie all-in-one small-model AI API platform
Streaming-first open STT for self-hosted voice agentsvs Gladia: about half the languages.
Cheapest hosted Whisper large-v3 API for batch transcription
Local-first macOS transcription and dictation app with one-time Pro pricing
Frontier-lab accuracy STT delivered through Azure Speechvs Gladia: about half the languages.
Context-aware Apple dictation by Every
From $14.99/moVisit Monologue →
#27Moonshine logoMoonshineOSS
On-device streaming STT for live voice interfaces, from tiny edge models to Whisper Large v3-beating accuracyvs Gladia: about half the languages.
Open-weights, GPU-accelerated self-hosted STT stackvs Gladia: about half the languages.
Private, on-device STT SDK for apps and edge devicesvs Gladia: about half the languages.
#30Qwen3-ASR logoQwen3-ASROSS
Open-weights multilingual ASR modelsvs Gladia: about half the languages.
Transcription-heritage STT API with low per-hour pricing and open (non-commercial) Reverb modelsvs Gladia: about half the languages.
See pricingVisit Rev AI →
Ultra-low-cost batch transcription on a community GPU cloud
Indian-language sovereign speech-to-text APIvs Gladia: about half the languages.
On-device ASR/TTS runtime for edge and embedded
Ultra-low-latency multilingual STT for voice agentsvs Gladia: about half the languages.
Ultra-low-cost multilingual STT + real-time translation APIvs Gladia: about half the languages.
See pricingVisit Soniox →
Accuracy-first enterprise STT with flexible deployment (SaaS, container, on-prem)vs Gladia: about half the languages.
AI voice-to-text dictation with context-aware formatting modes
Low-cost hosted Whisper STT APIvs Gladia: about half the languages.
Open-source, local-first Superwhisper / Wispr Flow alternative with one-time pricing
#41Vosk logoVoskOSS
Lightweight offline STT toolkit for edge and embedded devicesvs Gladia: about half the languages.
See pricingVisit Vosk →
Low-cost EU-based transcription API with Apache-2.0 open-weight modelsvs Gladia: about half the languages.
On-device Apple Silicon STT (Whisper)
#44WhisperX logoWhisperXOSS
Whisper + forced alignment + diarization pipeline for accurate word timestamps
Cross-platform AI dictation with smart formatting and enterprise-grade privacy
System-wide AI voice dictation with auto-editing

How the top Gladia alternatives compare

The top 6 in depth: where each alternative ranks across the Speech-to-text APIs field we track, which use cases it takes from Gladia, and what switching gives up.

1. Deepgram

Among the 43 speech-to-text tools we track, Deepgram has the 26th-widest language coverage.

Our use-case verdicts have Deepgram ahead of Gladia for call centers, developers, medical and voice agents and matches it for dictation and self-hosted.

Seen from the other side, Gladia vs Deepgram: ~2× the languages.

Deepgram lists $0.0043 per audio-minute (batch), verified July 2026.

Why teams switch: For high-volume call center transcription, per-minute batch cost is the dominant factor. Deepgram charges 0.004 per audio minute versus Gladia's 0.010, making Deepgram 2.5 times cheaper at the base rate. On diarization, Gladia includes it in the base price, but Deepgram's total with diarization added is 0.006 per minute, still 40% cheaper than Gladia's base rate. Stacking both diarization and PII redaction brings Deepgram to 0.008 per minute, still below Gladia's base rate. Deepgram also supports higher concurrency at 50 REST and 150 websocket connections versus Gladia's 25 async and 30 real-time, which matters at peak call volumes. Both tools support sentiment analysis. The cost advantage at scale is decisive. Call Centers verdict →

Overall verdict: Deepgram wins four use cases to Gladia's one, and the facts explain why. On price, Deepgram charges 0.004 dollars per audio minute for batch and 0.005 for streaming, versus Gladia's 0.010 and 0.013 respectively, making it the clear cost leader for call centers, medical, and high-volume developer workloads. For developers, Deepgram also offers SDKs in six languages including Go, Java, and Rust, compared to Gladia's two. In medical and call-center contexts, diarization and PII redaction matter: Deepgram provides both, though as add-ons, while its base streaming concurrency of 150 websocket connections far exceeds Gladia's 30. Gladia takes the meetings use case on the strength of its 3.23 percent third-party WER and 101-language coverage, but that single win cannot overcome Deepgram's broader price and platform advantages.

Deepgram cost at monthly volume tiers
Monthly volumeBatch billStreaming bill
1K min/moSide project$4.30$4.80
10K min/moProduction app$43$48
100K min/moCall-center scale$430$480

Published rates: batch $0.0043/min · streaming $0.0048/min, verified Jul 20, 2026. Sticker rates only; diarization and PII redaction add-ons price in the stack builder. How we compute costs →

Full Deepgram vs Gladia comparison → · Deepgram review →

2. AssemblyAI

Among the 43 speech-to-text tools we track, AssemblyAI has the 12th-widest language coverage - a fit for multilingual and localization projects.

Head-to-head, AssemblyAI takes call centers, developers, meetings and voice agents from Gladia and matches it for dictation, medical and self-hosted.

Its published rate is $0.0035 per audio-minute (batch), verified July 2026.

Why teams switch: For high-volume call center transcription, per-minute batch cost is the dominant factor. AssemblyAI charges $0.0035 per audio minute versus Gladia at $0.010167 per audio minute, meaning Gladia costs nearly 3x more at scale. On speaker diarization, AssemblyAI adds a small extra per-minute charge of about $0.000333 per audio minute, while Gladia includes diarization in its base rate, but even with that add-on, AssemblyAI's total per-minute cost remains well below Gladia's base price. PII redaction is a paid add-on for AssemblyAI at about $0.001333 per audio minute but is included in Gladia's rate, yet again AssemblyAI's all-in cost stays lower. Concurrency seals the advantage: AssemblyAI supports 200+ concurrent async jobs versus Gladia's 25, which is critical for high call volumes. Call Centers verdict →

Overall verdict: AssemblyAI takes the overall edge over Gladia, winning on call centers, developers, meetings and voice agents. Compare the two on the use cases you care about before deciding.

AssemblyAI cost at monthly volume tiers
Monthly volumeBatch billStreaming bill
1K min/moSide project$3.50$7.50
10K min/moProduction app$35$75
100K min/moCall-center scale$350$750

Published rates: batch $0.0035/min · streaming $0.0075/min, verified Jul 20, 2026. Sticker rates only; diarization and PII redaction add-ons price in the stack builder. How we compute costs →

Full AssemblyAI vs Gladia comparison → · AssemblyAI review →

3. OpenAI Whisper (API)

Among the 43 speech-to-text tools we track, OpenAI Whisper (API) has the 21st-widest language coverage.

In our published verdicts, OpenAI Whisper (API) beats Gladia for developers and self-hosted and matches it for call centers and dictation.

The reverse angle matters too - Gladia vs OpenAI Whisper (API): ~2× the languages.

Published pricing starts at $0.006 per audio-minute (batch), verified July 2026.

Why teams switch: For self-hosted deployment on your own hardware, the two most important factors are the self-host option and the model weights license. OpenAI Whisper's weights are released under the MIT license, making them freely usable on any hardware. Gladia explicitly supports a self-host option as well, but no open weights license is published for it. Since the use case specifically involves running an open-weight model on your own hardware, OpenAI Whisper is the only tool here with verified open model weights under a permissive license. Gladia offers on-premises deployment, but without open weights, users remain dependent on Gladia as a vendor even in self-hosted scenarios. Self-Hosted verdict →

Overall verdict: Gladia wins three use cases outright by delivering capabilities that OpenAI Whisper (API) simply cannot match at the API level. For Medical workflows, Gladia offers built-in speaker diarization and PII redaction included in the service, whereas OpenAI Whisper (API) provides neither. For Meetings, those same features combine with a lower third-party benchmark WER of 3.23% versus 4.06%, plus support for 101 languages against 57. For Voice Agents, Gladia provides a websocket streaming API with vendor-claimed 300 ms latency, while OpenAI Whisper (API) has no streaming option. OpenAI Whisper (API) counters with a lower batch price of $0.006 per minute versus $0.010, and open model weights under an MIT license enabling self-hosting, earning it the Developer and Self-Hosted cases. However, Gladia's breadth of built-in intelligence and real-time capabilities carry the overall comparison.

OpenAI Whisper (API) cost at monthly volume tiers
Monthly volumeMonthly bill (batch)
1K min/moSide project$6
10K min/moProduction app$60
100K min/moCall-center scale$600

Published rates: batch $0.006/min, verified Jul 20, 2026. Sticker rates only; diarization and PII redaction add-ons price in the stack builder. How we compute costs →

Full OpenAI Whisper (API) vs Gladia comparison → · OpenAI Whisper (API) review →

4. Amazon Transcribe

Among the 43 speech-to-text tools we track, Amazon Transcribe has the 3rd-widest language coverage - a fit for multilingual and localization projects.

Seen from the other side, Gladia vs Amazon Transcribe: ~10% fewer languages.

Amazon Transcribe lists $0.006 per audio-minute (batch), verified July 2026.

Amazon Transcribe review →

5. Aqua Voice

Among the 43 speech-to-text tools we track, Aqua Voice has the 28th-widest language coverage.

Before switching, weigh what stays behind - Gladia vs Aqua Voice: ~2× the languages.

Its published rate is $0.0065 per audio-minute (batch), verified July 2026.

Aqua Voice review →

6. Azure AI Speech (STT)

Among the 43 speech-to-text tools we track, Azure AI Speech (STT) has the 1st-widest language coverage - a fit for multilingual and localization projects.

The reverse angle matters too - Gladia vs Azure AI Speech (STT): ~30% fewer languages.

Published pricing starts at $0.003 per audio-minute (batch), verified July 2026.

Azure AI Speech (STT) review →