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Inkr

Turn audio into text faster than you can say "transcribe."
317
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Problem
The current situation involves manually transcribing audio files, which is not only time-consuming but also prone to errors. The drawbacks include the difficulty to transcribe conversations accurately and efficiently, leading to increased costs and reduced productivity.
Solution
A transcription tool that delivers lightning-fast, highly accurate transcriptions by allowing users to upload files or paste links for automatic transcription processing. This solution facilitates effortless transcription of meetings, interviews, and lectures with minimal delay or hassle.
Customers
Journalists, researchers, students, and professionals in need of quick and accurate transcription services for their work or studies.
Unique Features
Provides transcription at the lowest cost combined with high speed and accuracy, allowing users to easily manage transcription needs with minimum effort.
Market Size
The global speech and voice recognition market is predicted to reach approximately $28.3 billion by 2026, indicating substantial growth opportunities for transcription tools.

File Transcribe

Transcribe Audio and Video Files | AI-powered
99
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Problem
Users struggle to accurately and efficiently transcribe audio and video files, which can be time-consuming and error-prone when done manually
Solution
Filetranscribe.com is an online service that enables users to transcribe audio and video files using AI. The platform offers AI-powered precision, speaker diarization, captions, summaries, and flexible pricing plans.
Customers
Journalists, podcasters, researchers, and legal professionals who require precise and time-efficient transcriptions for their audio and video recordings.
Unique Features
AI-powered precision, speaker diarization, and the ability to provide summaries and captions alongside flexible pricing plans.
User Comments
High accuracy in transcription.
Fast turnaround time.
User-friendly interface.
Cost-effective pricing plans.
Useful speaker diarization feature.
Traction
The website is relatively new with growing user engagement, details on MRR and revenue are not specified.
Market Size
The global speech and voice recognition market is anticipated to reach $26.8 billion by 2025.