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What is Transcribe Speech to Text?

The Transcribe app and website provide an exceptionally fast and affordable method for converting audio into text. You can easily upload audio files in various formats like wav, mp3, or ogg, and in no time, you'll receive a neatly organized document that is ready for use. To help you understand the advantages of the Transcribe app, you can take advantage of a free 15-minute trial that showcases its features. Acting as your personal assistant, Transcribe seamlessly turns videos and voice memos into written documents. By leveraging advanced Artificial Intelligence technology, Transcribe guarantees high-quality, easily readable transcriptions with just one click. Have you ever been frustrated by the need to replay voice memos just to remember your ideas? Are you spending too much time crafting meeting notes or going through recorded interviews? If you prefer reading over enduring long online courses and lectures, you'll find Transcribe to be a valuable tool. Moreover, if you require subtitles for a video or need to quickly translate content into another language, Transcribe is equipped to tackle these challenges and beyond. With its diverse functionalities, Transcribe revolutionizes the way you handle and interact with your audio materials, making your life significantly easier. Whether for professional or personal use, this app is designed to enhance productivity and efficiency in managing audio content.

What is Cogniflow?

You can classify customer interactions, pull essential data from text or visual content, identify and count objects in images or videos, and even transcribe audio into written text. By following a few simple steps, you can create a tailored model or utilize our existing pre-trained AI models. Seamlessly connect your applications to your AI models using an API-friendly service, or take advantage of our handy add-ons for Excel or Google Sheets. You can train and make predictions based on text, images/videos, or audio inputs, with full support for English, Spanish, and Portuguese languages. Improve your interactions with features like intention recognition, assess emotional feedback, or empower your bot to answer using a question-answering framework driven by Cogniflow. Automatically categorize customer support tickets from emails to handle inquiries more effectively and enhance your response time. Furthermore, transcribe client calls to ensure compliance, evaluate sentiment, and highlight key moments in conversations to boost service quality. This all-encompassing strategy not only optimizes workflows but also significantly elevates customer satisfaction levels, leading to lasting loyalty and engagement.

Media

Media

Integrations Supported

Bubble
Google Sheets
Microsoft Excel
Zapier

Integrations Supported

Bubble
Google Sheets
Microsoft Excel
Zapier

API Availability

Has API

API Availability

Has API

Pricing Information

$4.99 per hour
Free Trial Offered?
Free Version

Pricing Information

$40 per month
Free Trial Offered?
Free Version

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

Transcribe

Date Founded

2021

Company Website

transcribe.website/

Company Facts

Organization Name

Cogniflow

Date Founded

2021

Company Location

United States

Company Website

www.cogniflow.ai/

Categories and Features

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

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