Transform Documents into AI Training Data
Used Every Day by Researchers At
Core Functionality
DocSynth empowers users with a full pipeline for QA dataset development
Generate QA Pairs from Documents
Use the DocQA Generator to upload PDF or text files and automatically extract QA pairs. Customize chunk size, question density, and output formats to fit your needs.
Create Synthetic QA Datasets
Leverage the SynthQA Generator to produce synthetic QA pairs based on industry, category, or specific instructions. This is ideal for training models when real-world data is limited.
Process and Manage Datasets
Through DocSynth Tools, convert between QA formats, merge or split datasets, validate training and validation sets, and switch between JSON and JSONL formats to support workflows.
Generate QA pairs from Web URLs
Use the WebQA Generator to generate QA pairs directly from web URLs. Configure chunk size, question density, and output formats for web-based content extraction and dataset creation.
Audience
DocSynth is built for
Machine Learning Researchers
Data Scientists/ Programmers
Software Developers
Web Scrapers/ Data Collectors
Conversational AI Developers
Scientific Researchers
Testimonials
DocSynth has revolutionized our research workflow. The quality of generated QA pairs is exceptional, and the platform's flexibility allows us to customize outputs for our specific needs.
The synthetic QA generation capabilities are outstanding. We've been able to create high-quality training datasets much faster than before, accelerating our research timeline significantly.
The platform's ability to handle complex documents and generate contextually relevant questions has been invaluable for our research. The support team is also incredibly responsive.
Ready to transform your documents into AI training data?
Create your first QA dataset with DocSynth in minutes. Join our beta program today - no credit card required.