writeout.ai Description
OpenAI's Whisper API allows you to transcribe and translate audio files. Writeout uses the OpenAI Whisper API recently released to transcribe audio files. Upload any audio file and the application will send it via the OpenAI Whisper API using Laravel’s queued jobs. Translation makes use the OpenAI Chat API to break down the VTT file generated into smaller pieces so they fit within the prompt context limit.
writeout.ai Alternatives
Aiko
High-quality on-device transcription. Convert speech from meetings, lectures and more into text. OpenAI's Whisper, running locally on your mobile device, is used to perform the transcription. The audio is never sent outside of your device.
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Speechmatics
Speechmatics is the most accurate and inclusive speech-to-text API ever released.
Speechmatics is the world’s leading expert in Speech Technology, combining the latest breakthroughs in AI and ML to unlock the business value in human speech.
Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more.
How is Speechmatics different?
* The most accurate speech recognition on the market
* 55 languages with vast accent and dialect coverage
* Cloud-based or on-premises deployment options for data security
* Real-time transcription with low latency and high accuracy
* Real-time translation with 69 language pairs
* Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events
* Fast and secure transcriptions for pre-recorded audio
* Automatic translation and language identification
* A culture of R&D in deep learning and speech recognition
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Whisper
We have developed and are open-sourcing Whisper, a neural network that approximates human-level robustness in English speech recognition. Whisper is an automated speech recognition (ASR), system that was trained using 680,000 hours of multilingual, multitask supervised data from the internet. The use of such a diverse dataset results in a better resistance to accents, background noise, technical language, and other linguistic issues. It also allows transcription in multiple languages and translation from these languages into English. We provide inference code and open-sourcing models to help you build useful applications and further research on robust speech processing. The Whisper architecture is an end-to-end, simple approach that can be used as an encoder/decoder Transformer. The input audio is divided into 30-second chunks and converted into a log Mel spectrogram. This then goes into an encoder.
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Amazon Transcribe
Amazon Transcribe allows developers to add speech-to-text capabilities to their applications. Computers cannot search for and analyze audio data. Recorded speech must be converted into text before it can be used for applications. Customers used to have to work with transcription companies that required them to sign lengthy contracts and were difficult to integrate into their technology stacks. Many of these providers use outdated technology which is difficult to adapt to different situations, such as low-fidelity phone audio that is common in contact centers. This results in poor accuracy. Amazon Transcribe uses deep learning called automatic speech recognition (ASR), to quickly convert speech into text. Amazon Transcribe is a tool that can be used to transcribe customer calls, automate subtitles, and generate metadata to support media assets in order to create a searchable archive.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Integrations
API:
Yes, writeout.ai has an API
No Integrations at this time
Company Details
Company:
writeout.ai
Website:
writeout.ai/
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Product Details
Platforms
SaaS
Type of Training
Documentation
Customer Support
Online
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