--- title: AssemblyAI - Speech to Text API Reviews meta_title: 'AssemblyAI - Speech to Text API Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 124 reviews by the users' company size, role or industry to find out how AssemblyAI - Speech to Text API works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 124 scale: '5' date_modified: '2026-07-17' parent_category: name: Deep Learning url: https://www.g2.com/categories/deep-learning --- # AssemblyAI - Speech to Text API Reviews **Vendor:** AssemblyAI **Category:** [Voice Recognition Software](https://www.g2.com/categories/voice-recognition) **Average Rating:** 4.6/5.0 **Total Reviews:** 124 ## About AssemblyAI - Speech to Text API Founded in 2017 and headquartered in San Francisco, AssemblyAI is a Voice AI platform serving over 200,000 developers worldwide. AssemblyAI specializes in providing speech recognition and understanding capabilities through API-based services, with a focus on conversation intelligence and voice agent applications. Companies ranging from early-stage startups to Fortune 500 enterprises across technology, healthcare, legal, and telecommunications industries rely on this comprehensive speech processing API. Developers leverage AssemblyAI's API to build speech-to-text transcription, speaker diarization, sentiment analysis, entity recognition, and summarization into their product lines. Core features include real-time and batch audio processing, automatic language detection across 40+ languages, PII redaction for compliance requirements, and custom vocabulary support. By addressing the challenge of extracting actionable insights from voice data at scale, AssemblyAI enables organizations to automate conversation analysis, improve quality assurance processes, enhance customer experience monitoring, and build voice-enabled applications. Common implementations include call center analytics, meeting transcription services, voice assistant development, and compliance recording systems. AssemblyAI's accuracy in multi-speaker environments and specialized conversation intelligence features accurately identifies and separates different speakers in conversations while maintaining high transcription accuracy, even with background noise, accents, and technical terminology. Unlike general-purpose speech recognition services, the API provides purpose-built features for conversation analysis and enables rapid integration into your ecosystems, typically allowing developers to implement production-ready voice capabilities within days rather than months. Operating on a usage-based pricing model, AssemblyAI offers flexible billing options with zero commitments required for customers of all sizes. Developers can start for free and pay as they go, with no upfront commitments—only paying for what they use. Our API provides production-ready access with high default concurrency and automatic scaling, including unlimited concurrency options and customizable rate limits for any workload. Get started with AssemblyAI today—sign up for free and receive $50 in credits to explore our Voice AI capabilities. ## AssemblyAI - Speech to Text API Pros & Cons **What users like:** - Users value the **exceptional accuracy** of AssemblyAI, enhancing their transcription quality across diverse audio challenges. (36 reviews) - Users appreciate the **ease of use** of AssemblyAI, noting its straightforward setup and seamless integration. (24 reviews) - Users commend the **high transcription accuracy** of AssemblyAI, noting its reliability and speed for transcription tasks. (21 reviews) - Users appreciate the **fast transcription speed** of AssemblyAI, making it ideal for efficient and immediate text conversion. (17 reviews) - Users enjoy the **exceptional accuracy and advanced features** of AssemblyAI, enhancing their transcription and QA processes significantly. (17 reviews) - Implementation Ease (16 reviews) - API Usability (15 reviews) - Users value the **excellent documentation** of AssemblyAI, enabling smooth integration and ease of use across various tech stacks. (15 reviews) - Users appreciate the **easy setup** of AssemblyAI, allowing them to get started quickly and efficiently. (14 reviews) - Pricing (14 reviews) **What users dislike:** - Users desire improved **language support** for better transcription accuracy and sentiment analysis across multiple languages. (10 reviews) - Users experience **inaccuracy issues** with AssemblyAI, especially with similar voices and heavy accents, leading to manual corrections. (7 reviews) - Users feel that **pricing issues** limit the accessibility of AssemblyAI's advanced features, affecting overall usage and satisfaction. (7 reviews) - Users experience **slow processing** with AssemblyAI, especially during higher loads, impacting real-time transcription effectiveness. (6 reviews) - Users note that **improvement is needed** in diazarization, streaming availability, and handling sample code responses effectively. (5 reviews) - Poor Transcription Accuracy (5 reviews) - Users experience **slow performance** , with delayed startup, inconsistent response times, and lengthy processing speeds impacting usability. (5 reviews) - Accuracy Issues (4 reviews) - Users find the **user interface challenging** , particularly for non-tech users and managing multiple accounts effectively. (4 reviews) - Users experience **inaccurate accent recognition** that leads to mis-transcriptions and challenges with heavy accents. (3 reviews) ## AssemblyAI - Speech to Text API Reviews ### 1. Works Well for Audio Transcription, Content Review, and Content Preparation **Rating:** 5.0/5.0 stars **Reviewed by:** Ishan S. | Manager and Dietician at Chaitanya Homoeo Clinic, Medical Store Owner, Content Creator, Hospital & Health Care, Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2026 **What do you like best about AssemblyAI - Speech to Text API?** I work as a Dietician and Nutritionist, manage a homeopathy clinic, create health education content for social media, and also prepare educational and awareness material. What I like best about AssemblyAI is that it helps convert spoken content into text in a simple and organized way. It reduces the time spent manually reviewing recordings and makes it easier to work with audio content in a written format. The generated transcripts are usually easy to review, edit, and use further for different types of content. I have used it when working with health education recordings, informational audio content, and other spoken material that needs to be reviewed in written form. One thing I find useful is that it supports both streaming and pre-recorded audio transcription. This gives flexibility depending on the type of content being processed. The transcription quality has been good during my use, and the generated text is usually easy to review and work with. Features such as speech to text, language detection, transcript generation, and audio processing help reduce the time that would otherwise be spent manually typing or reviewing recordings. Another useful part is that the generated transcript can be reviewed, edited, and used further for educational articles, awareness content, notes, and other written material. This is helpful when working on health topics that need to be converted from audio into a written format. I also like that the platform keeps the transcription workflow organized and makes it easier to process recorded content when needed. Performance has been smooth during my use, and transcript generation is generally completed quickly. I do not use it every day, but I use it whenever I need transcripts from recorded content. Overall, AssemblyAI helps make audio-to-text conversion more organized, efficient, and easier to manage as part of my content creation workflow. **What do you dislike about AssemblyAI - Speech to Text API?** When testing different transcription settings and models, it can take a little time to understand which option is best for a particular type of audio. More guidance during selection would make the process easier. Also, The transcript quality is generally good, but background noise, overlapping speech, or unclear recordings can still require some manual cleanup. This is not frequent, but it can happen with real-world audio. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** It is helping solve the problem of converting audio content into text without spending time on manual transcription. When working with health education recordings, awareness content, informational audio, and other spoken material, reviewing everything manually can take a significant amount of time. AssemblyAI helps generate transcripts more quickly, which makes the information easier to review, organize, and use further. It is also useful when audio content needs to be converted into articles, educational material, notes, or social media content. Having a written version of the content makes it easier to identify important points and prepare educational resources from recorded information. Features such as speech-to-text, transcript generation, language detection, and audio processing help make this workflow more efficient. Another benefit is that it reduces the effort involved in reviewing longer recordings. Instead of repeatedly listening to audio, I can work directly with the generated transcript and make any necessary edits. Overall, it helps save time, improves content organization, and makes it easier to manage audio-based educational content in a more structured way. ### 2. High-Accuracy, Developer-Friendly Speech-to-Text That Speeds Up Our Workflow **Rating:** 4.5/5.0 stars **Reviewed by:** Yogendra N. | Indie iOS developer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2026 **What do you like best about AssemblyAI - Speech to Text API?** What I like best about AssemblyAI - Speech to Text API is its high transcription accuracy and developer-friendly integration. The API delivers reliable results even with different accents and noisy audio, which is very important for real-world applications. I also appreciate the fast processing speed and features like automatic punctuation, speaker diarization, and summarization, which save a lot of development time. Another major advantage is how easy it is to integrate into apps. The documentation is clear, and the API works smoothly with modern tech stacks. It has significantly improved my workflow by automating transcription and reducing manual effort. Overall, it’s a powerful and scalable solution for building AI-based audio applications. **What do you dislike about AssemblyAI - Speech to Text API?** One downside of AssemblyAI - Speech to Text API is that pricing can become expensive at scale, especially for apps with high audio usage. While the accuracy is generally strong, it can still struggle with heavy background noise, multiple speakers talking simultaneously, or strong regional accents. Additionally, some advanced features may require extra configuration and are not always straightforward for beginners. Real-time transcription latency can also vary depending on audio quality and network conditions. Overall, while it’s a powerful tool, optimizing cost and handling edge cases can require extra effort. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** AssemblyAI - Speech to Text API solves the problem of manually transcribing audio, which is time-consuming and inefficient. It automates the conversion of voice recordings, meetings, and interviews into accurate text, allowing me to focus more on analysis and productivity instead of manual work. It also helps in extracting insights through features like summarization, keyword detection, and speaker identification, which improves how I organize and use information. This has significantly increased my efficiency, reduced operational time, and enabled me to build smarter, AI-powered features in my app without needing to develop complex models from scratch. ### 3. Effortless Integration, Boosted Sales Performance **Rating:** 5.0/5.0 stars **Reviewed by:** Vansh . | Data analyst and automation expert, Mid-Market (51-1000 emp.) **Reviewed Date:** April 08, 2026 **What do you like best about AssemblyAI - Speech to Text API?** I like how easily the AssemblyAI - Speech to Text API can be used and applied in real-life scenarios. Despite not being a coder, setting it up was very easy for me, which was the game-changing aspect. I wasn't initially aware of how to use an API or handle many calls simultaneously, but with AssemblyAI, I was able to set up the whole thing on my own and use it quite efficiently. **What do you dislike about AssemblyAI - Speech to Text API?** I use AssemblyAI - Speech to Text API to get the transcription and OpenAI API for analysis of that transcription, and I feel the same thing can be added in AssemblyAI. It can be very helpful where it gives me the capability to ask questions directly from the transcription. They can add a model which analyzes the transcripts and then gives me the analysis based on the prompt I give; that would be game-changing. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** I use AssemblyAI - Speech to Text API to analyze sales calls, track employee performance, and improve my sales pitch, increasing my revenue by over 20%. It replaced manual call reviews and provides actual conversion probabilities. ### 4. AssemblyAI: Fast & Accurate Speech to Text **Rating:** 4.0/5.0 stars **Reviewed by:** Kiran Kumar O. | Senior Technical Recruiter, Mid-Market (51-1000 emp.) **Reviewed Date:** May 21, 2026 **What do you like best about AssemblyAI - Speech to Text API?** AssemblyAI’s Speech-to-Text API was quick for our team to integrate, and it delivers accurate transcription results even with long audio files and conversations involving multiple speakers. The documentation is easy to understand, and the setup process was smooth end to end. Features such as speaker identification, summarization, and real-time transcription saved us a lot of development time because we didn’t have to build those capabilities ourselves. In regular use, the API feels fast, reliable, and straightforward to work with. It also scales well, which makes it a good fit for both small projects and larger production applications. **What do you dislike about AssemblyAI - Speech to Text API?** One drawback is that the pricing can get expensive when you’re processing a large volume of audio. Overall, the transcription quality is good, but it can still make mistakes with strong accents, background noise, or unclear speech, so I usually need to do a few manual corrections. Some of the more advanced features can also be confusing for new users at first and take time to understand. It would be better if the dashboard offered simpler analytics and clearer monitoring tools to make it easier to track what’s going on. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** Before using AssemblyAI, converting audio to text took a lot of time and required a lot of manual work. Now we can automatically transcribe meetings, interviews, and other recordings quickly and accurately. It saves us time, reduces effort, and helps us work more efficiently overall. Features like real-time transcription and summaries also make it easier to understand conversations and review them faster. ### 5. Impressive Accuracy, Simple Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Small-Business (50 or fewer emp.) **Reviewed Date:** April 26, 2026 **What do you like best about AssemblyAI - Speech to Text API?** I really like how accurate AssemblyAI - Speech to Text API is in transcribing calls, even handling tougher accents like Irish very well. The ease of connecting it to my API makes the process of sending recordings for transcription super easy. I also found the initial setup to be super easy; I just needed to copy-paste an API key, and I was good to go. The $50 of included credits was brilliant as well. **What do you dislike about AssemblyAI - Speech to Text API?** I don't have too much criticism, to be honest. The only thing that I can think of is transcription were a tiny bit better. It's already way better than other models that I've tried. But there's always room for improvement with transcriptions, particularly with more difficult accents. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** I use AssemblyAI - Speech to Text API to transcribe calls accurately, even with tough Irish accents. It makes connecting recordings easy and improves transcription accuracy in my workflow. ### 6. AssemblyAI Delivers Accurate Transcriptions and Time-Saving Features **Rating:** 5.0/5.0 stars **Reviewed by:** Gaurav R. | Web Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 14, 2026 **What do you like best about AssemblyAI - Speech to Text API?** I like AssemblyAI because it provides accurate transcriptions, easy API integration, and useful features like speaker detection and summaries that save significant development time. **What do you dislike about AssemblyAI - Speech to Text API?** The pricing can become expensive at higher usage levels, and transcription accuracy occasionally drops with poor audio quality or strong background noise. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** AssemblyAI automatically converts audio into accurate text, saving me hours of manual transcription and making it much easier for me to build speech-based applications and workflows. ### 7. Accurate Transcriptions, Simple Setup **Rating:** 4.0/5.0 stars **Reviewed by:** Jess M. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 20, 2026 **What do you like best about AssemblyAI - Speech to Text API?** I like AssemblyAI - Speech to Text API because it seems to be very accurate and I like how it separates different speakers. It's been very simple to set up, which is great since I'm a one-man operation. Having perfect transcripts is very important for my signal extraction workflow. **What do you dislike about AssemblyAI - Speech to Text API?** It'd be nice to have an automatic switch to a lower skilled version if needed to reduce the cost. I've just warned them to keep the transcripts to a minimum for their long podcasts. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** I use AssemblyAI - Speech to Text API to transcribe podcast transcripts, which helps me create a workflow to get signals from multiple podcasts simultaneously. Its accuracy and speaker separation are crucial for my signal extraction workflow, providing perfect transcripts. ### 8. Affordable and Accurate, But Needs Speed Improvements **Rating:** 4.0/5.0 stars **Reviewed by:** Matt V. | Senior Product Designer II, Small-Business (50 or fewer emp.) **Reviewed Date:** April 07, 2026 **What do you like best about AssemblyAI - Speech to Text API?** I like that AssemblyAI - Speech to Text API is reasonably priced and quite accurate. It's cheaper than other tools like OpenAI Whisper, yet the quality is good and it's reasonably fast. I also appreciate that it offers $50 in starter credits and has tested well in quality. The initial setup was pretty easy too. **What do you dislike about AssemblyAI - Speech to Text API?** I wish it was faster, identified speakers better, and cost less. Speed is the biggest thing, my product doesn’t work well with longer podcast episodes (over an hour) because it takes so long to transcribe it sometimes times out or fails in Vercel. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** AssemblyAI transcribes podcasts, allowing users to create clips without complex audio editing. It's affordable, quite accurate, cheap compared to OpenAI Whisper, and offers good quality and reasonable speed. ### 9. Reliable transcription with room for improvement **Rating:** 4.5/5.0 stars **Reviewed by:** bold p. **Reviewed Date:** January 23, 2026 **What do you like best about AssemblyAI - Speech to Text API?** I find the AssemblyAI - Speech to Text API very reliable, especially when it comes to the German language. It processes the German language accurately and is among the services with the highest accuracy in this area. Although it is sometimes a bit slow, everything else works quite well. **What do you dislike about AssemblyAI - Speech to Text API?** Actually, mainly just speed, sometimes it could be a bit faster. And mainly perhaps continue working on the quality of the transcripts. Right. Especially when, for example, industry-specific or company-specific terms are mentioned, like certain names of people or names of projects or products or so, which occur more frequently. That one would have the possibility for the SMLD to basically recognize these terms more accurately. Especially in the German language. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** AssemblyAI - Speech to Text API solves our need for reliable speech transcription, especially for the German language and industry-specific technical terms in construction. ### 10. Multilanguage Support, Accurate Transcriptions **Rating:** 5.0/5.0 stars **Reviewed by:** Ripon S. | General user, Small-Business (50 or fewer emp.) **Reviewed Date:** January 05, 2026 **What do you like best about AssemblyAI - Speech to Text API?** I am really happy with AssemblyAI - Speech to Text API because it supports many languages with accurate results. My app on the app store uses AssemblyAI's API, and it has over 10k active users who benefit from the multilanguage support and speaker detection it provides. Previously, I used Deepgram, but it did not support 100+ languages, unlike AssemblyAI, which also has built-in translation support. I find the initial setup very easy, using their JavaScript SDK on my Node.js server with just maybe 5-10 lines of code. **What do you dislike about AssemblyAI - Speech to Text API?** The Speech to Text API is working great, but I think they need to support summarization for all languages. Currently, it only supports English. **What problems is AssemblyAI - Speech to Text API solving and how is that benefiting you?** I use AssemblyAI - Speech to Text API for multilingual transcription with speaker detection accuracy. It supports over 100 languages, has built-in translation, and offers better accuracy than my previous service, Deepgram, which lacked these features. ## AssemblyAI - Speech to Text API Discussions - [What is AssemblyAI - Speech to Text API used for?](https://www.g2.com/discussions/what-is-assemblyai-speech-to-text-api-used-for) - [View AssemblyAI - Speech to Text API pricing details and edition comparison](https://www.g2.com/products/assemblyai-speech-to-text-api/reviews/assemblyai-speech-to-text-api-review-13121090?section=pricing&secure%5Bexpires_at%5D=2026-07-18+09%3A34%3A03+-0500&secure%5Bsession_id%5D=8918e2df-3408-44d0-8c24-9a222f4896ed&secure%5Btoken%5D=ac0af788e71e16e9df6d110d582eee9d75bac4c173f6297808439b90ec60e642&format=llm_user) ## AssemblyAI - Speech to Text API Integrations - [Amazon Connect](https://www.g2.com/products/amazon-connect/reviews) - [Apple iOS](https://www.g2.com/products/apple-ios/reviews) - [Daily](https://www.g2.com/products/luke-didriksen-daily/reviews) - [Genesys](https://www.g2.com/products/vitech-corporation-genesys/reviews) - [Kixie PowerCall & SMS](https://www.g2.com/products/kixie-powercall-sms/reviews) - [LiveKit](https://www.g2.com/products/livekit/reviews) - [n8n](https://www.g2.com/products/n8n/reviews) - [OpenAI Whisper](https://www.g2.com/products/openai-whisper/reviews) - [Replit](https://www.g2.com/products/replit/reviews) - [Twilio](https://www.g2.com/products/twilio/reviews) - [Zapier](https://www.g2.com/products/zapier/reviews) - [Zoom Rooms](https://www.g2.com/products/zoom-rooms/reviews) - [Zoom Workplace](https://www.g2.com/products/zoom-workplace/reviews) ## AssemblyAI - Speech to Text API Features **Deployment & Integration - Voice Recognition** - Installation & setup Ease - Developer API & SDK - Software Integration - Multi-Device Support **Performance Optimization - Voice Recognition** - Accuracy in Noisy Settings - High-Volume Scalability - Environmental Noise Adaptation - Multilingual Voice Recognition - Low-Latency Processing **Security & Compliance - Voice Recognition** - Liveness Detection - Regulatory Compliance - Secure Communication Channels **Advanced AI & Biometric Features - Voice Recognition** - Voice-Based Authentication - Machine Learning & Adaptive Speech Recognition - Speaker Differentiation - Sentiment & Tone Analysis **Agentic AI - Voice Recognition** - Natural Language Interaction ## Top AssemblyAI - Speech to Text API Alternatives - [Deepgram](https://www.g2.com/products/deepgram/reviews) - 4.6/5.0 (443 reviews) - [Google Cloud Speech-to-Text](https://www.g2.com/products/google-cloud-speech-to-text/reviews) - 4.6/5.0 (234 reviews) - [OpenAI Whisper](https://www.g2.com/products/openai-whisper/reviews) - 4.4/5.0 (33 reviews)