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Audio transcription
2017-08-22
Assemblyai
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Cutting-edge speech and audio recognition.
Overview
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AssemblyAI is a cutting-edge AI tool for speech recognition and understanding. It provides an API to access production-ready AI models that are capable of transcribing and understanding audio files, video files, and live audio streams accurately and at scale.
It is built on the latest state-of-the-art AI research and can be used to transcribe, summarize, detect hateful content, spoken topics and more. Its API is simple and secure, and is used by thousands of startups and dozens of global enterprises.
Its AI models have proven to increase call transcription accuracy by up to 23% and double the number of customers using its product. AssemblyAI is trusted by thousands of businesses of all sizes and provides developers with comprehensive support through its in-depth tutorials, detailed documentation and changelog.
With AssemblyAI, developers can quickly and easily build powerful, AI-first products.
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Assemblyai was manually vetted by our editorial team and was first featured on November 18th 2022.
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35 alternatives to Assemblyai for Audio transcription
Pros and Cons
Pros
Accurate speech recognition
Secure, simple API
In-depth tutorials
Detailed documentation
Changelog for updates
Supports audio files
Supports video files
Supports live audio streams
Transforms speech to text
Summarizes speech data
Detects hateful content
Identifies spoken topics
Compatible with multiple industries
Increased transcription accuracy
International language support
Speaker detection
Sentiment analysis
PII detection
Used by global enterprises
Comprehensive developer support
Real-time transcription
Asynchronous transcription
Entity detection
Available CLI
Cons
Lacks sentiment analysis
No real-time transcription
Limited language support
No PII redaction
No entity detection
No SDK provided
Limited speaker labels
No visibility into model versions
Locked into one model
No audio/video file conversion support
Q&A
What is AssemblyAI?
AssemblyAI is a pioneering AI tool for speech recognition and comprehension. It offers an API to access ready-to-use AI models capable of transcribing and comprehending audio and video files, and live audio streams accurately and at large-scale. These models, grounded in the latest state-of-the-art AI research, can transcribe, summarize, detect hateful content, recognize spoken topics and more.
What are the key features of AssemblyAI?
AssemblyAI's key features include Core Transcription to accurately convert audio files, video files, and live audio streams into text at scale, and Audio Intelligence, which employs AI models to summarize speech, detect hateful content, recognize spoken topics, and more. It also offers comprehensive Developer support with its in-depth tutorials, detailed documentation, and changelog.
How accurate is AssemblyAI's speech transcription?
AssemblyAI boasts high accuracy in its speech transcription service. AssemblyAI models have been proven to increase call transcription accuracy by up to 23%. Additionally, their new v9 transcription model delivers 11% better accuracy.
Can AssemblyAI detect hateful content in conversations?
Yes, AssemblyAI is capable of detecting hateful content in conversations. This is part of their Audio Intelligence feature where AI models can summarize speech, detect hateful content, identify spoken topics and more.
What types of audio and video files can AssemblyAI transcribe?
AssemblyAI has the capability to transcribe audio and video files. While the specific format of the files supported isn't specified, the powerful AI can convert all these types of content into text at scale.
How secure is AssemblyAI's API?
AssemblyAI's API is described as simple and secure. While the specific security protocols are not detailed on their website, the statement under the 'Security' heading states that protecting client data is AssemblyAI's top priority, indicating a high level of commitment to data security.
Can AssemblyAI transcribe live audio streams?
Yes, AssemblyAI can transcribe live audio streams. This is part of their Core Transcription feature that allows for the real-time conversion of live audio streams into text.
How does AssemblyAI use AI models in its services?
AssemblyAI uses AI models to underpin its services. The models are based on the latest state-of-the-art AI research and can perform tasks such as transcription, summarization, detection of hateful content, topic recognition, and more. These AI models are offered through a straightforward API. AssemblyAI also uses these models to deliver features such as Async Transcription, Real-Time Transcription, Speaker Labels and International Languages.
Why is AssemblyAI trusted by thousands of businesses?
Thousands of businesses trust AssemblyAI due to its accuracy and versatility. The powerful AI models can transcribe speech with high accuracy and can be used in various use cases like telephony, video platforms, virtual meetings, and media. AssemblyAI covers a wide range of industries and applications, including global enterprises and breakthrough startups. One testimony from CallRail stated that with AssemblyAI, call transcription accuracy improved by up to 23%.
What support does AssemblyAI provide to developers?
AssemblyAI provides considerable support to developers through in-depth tutorials, detailed documentation and a changelog. There is also a 'Playground' for learning, and it offers comprehensive support for developers willing to utilize AssemblyAI's API.
How does AssemblyAI summarize speech?
AssemblyAI uses their Audio Intelligence AI models to summarize speech. However, the exact methodology or technology used for this feature is not provided on their website.
What does AssemblyAI mean by 'audio intelligence'?
'Audio Intelligence' is a feature of AssemblyAI that uses AI models to provide insights from spoken content. This includes the ability to summarize speech, detect hateful content, identify spoken topics, and more. This allows for a deeper understanding of audio content beyond just transcription.
How is AssemblyAI being used in telephony and video platforms?
AssemblyAI is used in telephony to unlock rich, accurate data from call recordings. In video platforms, it is used to caption, categorize, and moderate video content. However, detailed specifics of its application in these platforms are not available.
What are the use cases of AssemblyAI in virtual meetings and media?
In the context of virtual meetings, AssemblyAI can easily transcribe and analyze insights, which can be invaluable in noting and following up on crucial points of discussion. For media services, AssemblyAI can target and analyze content from TV, podcasts, radio and more. This wide range of applications makes AssemblyAI a versatile tool in various media settings.
Can AssemblyAI be used for sentiment analysis and entity detection?
Yes, AssemblyAI can be used for sentiment analysis and entity detection, as part of its Audio Intelligence feature. These intelligent models can analyze the sentiment of spoken content and also identify different entities within the speech.
What is the pricing model for AssemblyAI?
AssemblyAI does offer a pricing model for its services, but the specific pricing tiers or plans are not supplied on their website.
How does AssemblyAI improve transcription accuracy with AutoTune?
AssemblyAI boasts a feature called 'AutoTune' which is used to augment transcription accuracy, however, the specific process or technology behind how AutoTune achieves this is not outlined.
Why do companies prefer AssemblyAI for transcription?
Companies prefer AssemblyAI for transcription due to its high accuracy which is often touted as the most accurate API on the market today. After testing transcription APIs from some of the largest companies in the world, many were pleasantly surprised to find that AssemblyAI outperformed them. Solid transcription accuracy combined with excellent customer service contribute to AssemblyAI being a top choice.
How does AssemblyAI protect user data?
AssemblyAI places a high priority on data protection. While specific methodologies or technologies used to ensure data protection haven't been elaborated, there is a direct affirmation that user data protection is considered a top priority at AssemblyAI.
How did AssemblyAI manage to increase call transcription accuracy by up to 23%?
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