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Blog » Communication » Best Speech-to-Text APIs Solution in 2025
Does your enterprise business deal with endless customer calls? meetings or voice interactions? If you find it difficult to track the calls and conversations manually, then the speech-to-text API can solve this problem. It converts spoken words into text.
The worldwide speech-to-text API market is experiencing growth, where the market of $2.2B in 2021 is expected to reach $5.4B by 2026. Therefore, it’s expanding at 19.2% each year.
Not all speech-to-text API solution providers are the same. Each differs in how well they understand speech, how easily they integrate with existing systems, how safe they are for regulated industries, and the cost associated with them.
So, selecting the best Speech-to-Text API is important for your business to stay ahead. In this blog, we’ll go through the best Speech-to-Text API Solution in 2025. Let’s get started.
Table of Contents
Speech-to-text is a voice recognition technology that converts the human spoken language to written text. It is also referred to as automatic speech recognition (ASR).
This is achieved with the help of several applications, from dictation software, voice assistants to real-time captioning. Here, the system understands and transcribes the spoken language from any noisy audio into written words.
Top 10 Speech-to-Text APIs in 2025: MirrorFly, AssemblyAI, AWS, Deepgram, Google, IBM, Azure, OpenAI, Rev AI & Sightengine
MirrorFly is a powerful CPaaS platform that integrates video, voice, and chat APIs directly into your web or mobile app. It offers a speech-to-text API with high accuracy and low word error rates. It has 1000+ customizable features.
The Speech-to-text APIs improve accessibility while also offering a white label solution. If your business needs complete data ownership, MirrorFly is the best choice. It gives organizations complete flexibility over hosting.
Along with automating transcription, this platform gives you full source access. So, the personalization of any part of the SDK is possible; thus, a domain-specific model can be built.
It’s designed as a communication platform, offering capabilities that work as an instant messaging solution while also scaling into an enterprise communication software. It unlocks actionable insights from voice data, and still, includes robust security with HIPAA, GDPR & OWASP compliance.
The one-time license cost for enterprise-level businesses is available.
Pros and Cons:
The main advantage is that it provides complete ownership of the source code to businesses to maximize control. This allows you to customize, scale, and future-proof the solution.
What falls short is that the ‘auto-sync knowledge base’ feature is currently in beta version and can be rolled out in the future.
AssemblyAI is suitable for businesses that need speech AI models for transcribing and analyzing voice data from calls, podcasts, and meetings. It specializes in content analysis and understanding. When compared to other providers, this remains as industry’s lowest word error rate and up to 30% less hallucinations. Developer-first approach with easy API key generation, and generous free hours of STT in a playground.
Amazon’s Transcribe is an enterprise-grade speech recognition platform offered through AWS (Amazon Web Services). Their special features include real-time and batch transcription, customizable vocabulary, and speaker recognition.
Applications such as Amazon Transcribe Medical for healthcare and Amazon Transcribe Call Analytics for contact centers highlight their improved accessibility, data analysis & cost-efficiency.
Deepgram uses a deep learning approach for processing audio in various conditions and domain-specific applications. You can train this model for industry-specific terminology, accents, and noisy environments. Has flexible deployment (cloud and on-premises) options.
Deepgram provides APIs for voice agents, speech-to-text, text-to-speech & audio intelligence. Offering real-time transcription in 36+ languages, custom model training, and topic detection.
Google Cloud’s Speech-to-Text supports real-time and batch transcription and ensures robust security. Its API uses machine learning to deliver speech recognition across various use cases like customer service, media production, and note-taking. You get free credits to test features like real-time streaming, batch processing & automatic punctuation for transcription services.
Speech-to-text API serves as a main element for hands-free communication, automation and is accessible across diverse applications. Let’s look into the most common use cases.
It helps educational institutions and corporate people make recorded lectures or training sessions more accessible. The video subtitles & captioning are useful for deaf students and non-native speakers.
Law firms use speech AI to process courtroom proceedings and recorded audio evidence into text. This is done while maintaining accuracy in legal and regulatory contexts. It recognizes speakers, highlights key terms, automatically redacts sensitive information, and timestamps words.
Speech-to-Text API transforms customer spoken interactions into actionable data. The customer sentiment analysis feature automatically identifies common issues and resolution patterns. This enables lead intelligence and helps sales teams analyze successful pitch patterns.
This solution converts doctor and patient conversations and clinical notes into text, reducing documentation time while ensuring accuracy. It automates processes like clinical note entry and claims submission. This allows doctors to save hours on paperwork and dedicate more time to patient care.
In smart assistants and voice-enabled devices, speech-to-text seamlessly converts spoken commands and queries into actionable text. This supports a wide array of applications, including dialing, call routing, home automation, and even controlling aircraft.
Media companies and content creators use speech AI with instant messaging platforms to transform video into a searchable resource. It helps generate automated transcripts and custom social media content, allowing creators to find exact parts of an audio, and generate captions for those watching without sound.
Among the various providers available in the market, MirrorFly’s custom Speech-to-Text API is distinct. It offers full source code ownership and on-premise hosting. This enterprise communication software goes beyond basic transcription. It has 1000+ in-app customizable features.
Therefore, allowing organizations to adapt the platform to their specific industry needs and stay compliant with global standards. If your business is looking for a secure and scalable speech-to-text API with white-label capabilities, MirrorFly is a top choice.
Don’t wait! Fill this form, and one of MirrorFly’s experts will get in touch with you to guide you.
MirrorFly’s Speech-to-Text API delivers real-time accuracy, customizable features & secure white-label solutions for modern enterprises.
Mohamed Asar
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Hi, I'm Mohamed Asar, an enthusiastic live streaming expert. I love blogging and discussing the latest technological advancements trending in the market. I'm particularly curious to learn more about contemporary developments in educational streaming platforms and deliver them to audiences like you.
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