05 Best Speech-to-Text APIs + Solutions in 2026

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 2026. Let’s get started. 

What is STT (Speech-to-Text)?

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), and it often works alongside text to speech systems to create fully interactive voice-enabled applications.

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 05 Speech-to-Text APIs & SDKs in 2026

Top 10 Best Speech-to-Text APIs are in 2026: MirrorFly, AssemblyAI, AWS, Deepgram, Google, IBM, Azure, OpenAI, Rev AI & Sightengine

1️⃣ MirrorFly – #1 Custom Speech-to-Text API

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.

Key Features of MirrorFly:

• Real-Time Response <500ms
• Transcription & Call Monitoring
• Takes & Makes Real Calls
• Handles Inbound Support Calls
• 100% Customizable Features
• Full Data Ownership
• Real-Time Call Transcription
• NLP + ML for Voice
• NLP & NLU for Voice
• Custom Security
• Whitelabel Solution
• Conversation Summarization & Outcome
• Built-in Call Summaries
• Conversational Summaries
• Lead Qualification, Support

Pricing:

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.

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2️⃣ AssemblyAI – Best Voice Recognition API

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.

Key Features of AssemblyAI:

• Auto chaptering and summarization
• Content moderation
• Call transcriptions
• Speaker diarization
• Sentiment analysis
• PII redaction

Pricing:

• Pre-recorded Speech-to-Text – $0.27/hr
• Streaming Speech-to-Text – $0.15/hr
• Enterprise Plan – Custom quote 

Pros and Cons:

AssemblyAI provides real-time and precise speech-to-text conversion, even in noisy environments.

It is not a beginner-friendly option and requires coding skills. This is a concerning factor.

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3️⃣ AWS Transcribe – Secure Speech-to-Text Model

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.

Key Features of AWS Transcribe:

• Medical speech models
• Automated content redaction
• Custom vocabulary support
• AWS service integration
• Channel separation

Pricing:

• You only pay for the services you use (pay-as-you-go model)
• For enterprise or large workload cases, you get a custom quote.

Pros and Cons:

AWS Transcribe supports real-time transcription for live events and batch processing for large amounts of recorded data. Therefore, no compromise between speed and scalability. 

Extra charges included for features such as PII content redaction, custom language models and more.

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4️⃣ Deepgram – Accurate Speech Recognition Solution

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.

Key Features of Deepgram:

• Custom model training
• Enhanced noise reduction
• Sentiment analysis
• Self-Hosted Deployment
• Multilingual support

Pricing:

• Speech-to-Text Pay As You Go plan charges $0.0043/min for the Nova-3 (English) model for pre-recorded cases. 
• ‍Custom pricing offered for enterprise businesses.

Pros and Cons:

Advantages are it supports cloud, on-premises, and Virtual Private Cloud (VPC) deployment methods, offering complete control over data privacy and security.

Promotional or free credits cannot be moved to another account, thus limiting business flexibility to run multiple accounts. 

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5️⃣ Google Cloud Speech-to-Text – #1 AI Speech Technology Platform

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.

Key Features of Google Cloud Speech-to-Text:

• Quality Transcription
• Word Time Offsets
• Content Filtering
• Real-time & Batch Processing
• Noise Robustness

Pricing:

The standard charge is $0.016 per minute of audio processed. It operates on a pay-as-you-go pricing model.

Pros and Cons:

With models like Chirp and the Universal Speech Model (USM), Google Cloud uses deep learning and natural language processing. This improves transcription accuracy in noisy environments, which is a key benefit.

Disadvantage includes their pricing, as their standard charge of $0.016/minute is higher than the competitor $0.006/minute. 

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Use Cases of Speech-to-Text APIs 

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.

1. Education and E-learning

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.

2. Legal Transcription

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.

3. Contact Centers & Customer Service

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.

4. Healthcare Medical Transcription

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.

5. Voice-Enabled Interfaces & Smart Assistants

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.

6. Media & Content Creation

Media companies and content creators use speech AI with instant messaging platforms to transform video into a searchable resource. These transcripts can also be reused in workflows with an AI video generator, helping creators quickly turn spoken content into short-form videos, reels, or promotional clips.

Why Choose MirrorFly’s Speech-to-Text API

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.

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