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What is Rev AI?

Rev AI is a speech-to-text API platform built for developers who need accurate, scalable, and fast transcription. The platform converts prerecorded audio files into transcripts and also supports real-time transcription from streaming audio. Rev AI supports more than 57 languages with grammar, punctuation, formatting, and consistently low word error rates. Its proprietary speech recognition models are trained on a carefully selected subset of more than 7 million hours of human-verified speech data. The platform is designed to deliver strong accuracy across many use cases, speakers, accents, nationalities, genders, and ethnic backgrounds. Developers can get started quickly with Rev AI’s API, SDKs, documentation, and support. The platform supports cloud and on-premises deployment for teams with different infrastructure and security needs. Rev AI includes AI Insights that help teams go beyond transcription through language identification, sentiment analysis, topic extraction, summarization, and translation. Its forced alignment and precision timestamp capabilities provide word-level timing for searchability, accessibility, media workflows, and content indexing. Enterprise-grade security features include SOC II, HIPAA, GDPR, and PCI compliance, 99.99% uptime, and encryption at rest and in transit. By combining accurate speech-to-text, real-time streaming, multilingual coverage, developer tools, AI insights, precision timestamps, and enterprise security, Rev AI helps organizations turn spoken content into reliable data.

What is Palatine Speech?

Palatine Speech is a cloud-based platform and API provider that specializes in innovative, AI-driven solutions for speech processing. Its extensive feature set includes transcription, speaker diarization, word timestamps, automatic language detection, translation, SRT/VTT subtitle generation, sentiment analysis, and text summarization. The API is designed to be flexible, supporting both streaming and asynchronous processing, along with custom dictionaries and endpoints that are compatible with OpenAI, and it caters to over 100 languages and more than 23 audio and video formats. Users have the option to deploy the service in the cloud or on-premise, providing them with greater flexibility. Furthermore, Palatine has developed Palatine Murmur 0.4.0, a privacy-centric application that facilitates meeting recording, transcription, and AI-driven summarization, which is compatible with macOS, Windows, and Linux systems. This application not only showcases Palatine's dedication to user privacy but also equips individuals with a robust set of tools for effectively managing their audio and video content. Ultimately, Palatine Speech emphasizes the importance of combining advanced technology with user-centric design to meet diverse needs.

Media

Media

No images available

Integrations Supported

Quickwork
Rev
Workers by Delos

Integrations Supported

Quickwork
Rev
Workers by Delos

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

0.29 RUB per audio minute
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rev

Date Founded

2010

Company Location

United States

Company Website

www.rev.ai/

Company Facts

Organization Name

Palatine

Company Location

Russia

Company Website

speech.palatine.ru/

Categories and Features

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Categories and Features

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