What is Transcription Data?
Transcription data is process of converting spoken language into written text. It involves listening to audio recordings or videos and accurately transcribing the spoken words into a written format. Transcription data is commonly used in various fields such as research, legal proceedings, medical documentation, and creating subtitles for videos.
Examples of Transcription Data include audio recordings, video recordings, and handwritten documents that have been converted into text format. Transcription Data is used for various purposes such as creating subtitles for videos, generating searchable text from audio recordings, and digitizing handwritten documents for easier access and analysis. In this page, you’ll find the best data sources for transcription data.
Best Transcription Datasets & APIs
Textual Data | NLP-enriched Data | Transcription Data | Entity Extraction & Disambiguation | Ready-to-use
WiserBrand | AI Training Data | US Transcription Data| Unique Consumer Sentiment Data: Transcription of the calls to the companies
PDF Scraping Textual Data | Transcription Data |Â E-Receipt Data, PDF Text Extraction
WiserBrand | Global Consumer Review Data | Transcription Data| Unique Consumer Sentiment Data: Transcription of the calls to the companies
Nexdata | Multilingual Speech Synthesis Data | 400 Hours | TTS Data | Audio Data | AI Training Data
FileMarket | 20,000 Voice Memos | Multilingual Training Data for Conversational AI | Machine Learning (ML) Data
Picasso Podcast Data: Transcriptions of All Popular Podcasts (5K+ Podcasts)
WiserBrand | Consumer Marketing Data | Unique Consumer Sentiment Data: Transcription of the calls to the companies
Nexdata | In-Cabin Speech Data | 15,000 Hours | AI Training Data | Speech Recognition Data | Audio Data |Natural Language Processing (NLP) Data
WiserBrand | Customer Feedback Data | Customer Experience Data | Unique Consumer Sentiment Data: Transcription of the calls to the companies
Monetize data on Datarade Marketplace
Transcription Data Use Cases
- Overview
- Datasets
- Use Cases