Otter.ai Reviews

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Intelligence, 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 * 50 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

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 Many of these providers use outdated technology which is difficult to adapt to different situations, such as low-fidelity phone audio that is common in contact centers.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.