Speech-to-Text APIs

Test & Compare

This demo is designed for you. It's a practical, interactive tool to benchmark leading APIs and a guide to how we can help you make a more informed, data-driven decision.

As a product manager or developer, you know that Speech-to-Text (STT) is more than just a feature—it's a core component that can make or break your application. While many businesses consume transcription through third-party software, you're in the business of building. You need to look under the hood.

Choosing the right STT engine is a critical architectural decision. Your choice will directly impact your product's performance, your budget, and your users' experience. But with dozens of APIs on the market, how do you move beyond the marketing claims to find the engine that is genuinely best for your specific use case?

Not All Transcription APIs Are Created Equal

The reality is that accuracy, speed, and cost vary dramatically between providers. A model that excels at transcribing clean, single-speaker audio might fail completely with multi-speaker call centre recordings that contain background noise and specific industry jargon.

Relying on a single provider's benchmarks is risky. Making a choice without testing against your own real-world audio can lead to:

Poor User Experience: Inaccurate transcripts frustrate users and render features useless.
Budget Overruns: Choosing an overpowered or inefficient API can dramatically inflate your operational costs at scale.
Failed Projects: A core dependency that doesn't perform as expected can derail your entire product roadmap.

See the Difference in Real-Time

Our interactive tool lets you test leading Speech-to-Text (STT) APIs side-by-side. No marketing claims, just the raw output. See for yourself how performance differs with your own audio.

1. Provide Your Audio Sample

Option A: Upload a File

We recommend using a real-world sample that includes background noise, specific accents, or technical jargon for the most valuable comparison.

Option B: Record Live Audio

Speak clearly for up to 30 seconds.

2. Compare the Transcriptions

Once you provide the audio, we process it simultaneously through several leading APIs.

API Provider	Transcription Result	Processing Time
AssemblyAI - Universal	The quick brown fox jumped over the lazy dog.	4.1 seconds
Amazon Transcribe	The quick brown fox jumps over a lazy dog.	2.5 seconds
Deepgram (Nova-3)	The quick brown fox jumps over the lazy dog.	4.6 seconds
Google Cloud Speech-to-Text	The quick brown fox jumps over the lazy dog.	1.8 seconds
OpenAI (Whisper 1 Multi-lingual)	The quick brown fox jumped over the lazy dog.	4.2 seconds
Rev	The quick brown fox jumped over the lazy dog.	4.7 seconds

How Blueberry Can Help: From Demo to Decision

We go beyond this simple tool to help you:

Build a Custom Test Harness: We work with you to create a comprehensive test suite using a large volume of your specific audio data, providing statistically significant results.
Conduct Cost-Performance Analysis: We analyse not just the accuracy (Word Error Rate) but also the API costs at your projected scale, giving you a clear picture of the total cost of ownership for each option.
Provide an Expert Recommendation: We deliver a data-driven report and a clear recommendation on the best API—or combination of APIs—for your product's specific needs, balancing performance, features, and budget.
Full Integration Support: Once you've made a decision, our development team can build a robust, scalable, and resilient integration into your application, ensuring you get to market faster.

Don't leave a critical component of your product to chance. Let us help you build with confidence.

Discuss Your Project with an Expert