Precisely parse various types of unstructured data
recognize the layout of documents, identifying areas such as tables, images, formulas, and text. And revert them to json or markdown format
- Intelligent table detection & extraction
- Multi-format document parsing
- Seamless integration with APIs
from undatasio.undatasio import UnDatasIO
token = 'Your API token'
task_name = 'your task name'
# 1. Initialize the UnDatasIO client
client = UnDatasIO(token=token, task_name=task_name)}
return go(f, seed, [])
}
# 2. Upload files
upload_response = client.upload(file_dir_path='./example_files')
# 3. View all uploaded files
upload_filename_response = client.show_upload()
# 4. Parse files
parse_response = client.parser(file_name_list=['example_file1.pdf', 'example_file2.pdf']
# 5. View historical parsing results
parse_filename_response = client.show_version()
Seamless Integration with Your Workflow
APIs enable different platforms and applications to collaborate seamlessly, facilitating data sharing and the integration of business processes.
- Real-time analytics
- Cross-platform integration
- Automated workflow
Choose your best plan
Select the plan that suits your needs and benefit from our analytics tools.
Pro
Unlock more features and elevate your data analysis.
- A total of 50000 credit per month
- Permanently save uploaded files
- Permanently save parsed results
- Priority technical support, quick response to your questions
- API interface access permission, easily integrate UnDatasIO into your workflow
- Support background running
Latest Insights
Stay updated with the latest trends and insights in UnDatasIO
OHRBench: Unveiling the Crucial Role of OCR in RAG Systems
OHRBench serves as a crucial benchmark for gauging the impact of OCR on RAG systems. It encompasses 350 unstructured PDF docs from diverse real-world RAG application fields, along with Q&A pairs. Explore how OCR noise, be it semantic or format, affects RAG performance, and learn about the evaluation of various OCR solutions. Dive into the details of OHRBench's construction and its role in understanding the complex relationship between OCR and RAG systems for enhanced text processing and retrieval.
Assessment of Microsoft's Markitdown series 2:Parse PDF files
Dive deep into the capabilities of Microsoft's Markitdown library as we conduct comprehensive tests on its PDF parsing prowess. From editable PDFs to scanned versions and even formula handling, discover how it fares in terms of text extraction, style retention, and accuracy. Uncover the pros and cons, and find out if it's the right tool for your digital document conversion needs. Stay tuned for detailed insights and real-world test results.
Assessment of Microsoft's Markitdown series 1:Parse PDF Tables from simple to complex
Explore the nitty-gritty of Microsoft's Markitdown library's table parsing capabilities! We journey through testing various Excel tables, from simple two-dimensional to complex merged and irregular ones. Uncover how it fares in extracting and structuring data, spot its strengths with basic tables and areas for improvement with tougher ones. Ideal for developers, data analysts, and anyone seeking to leverage Markitdown for efficient table handling. Stay updated on its evolving performance and upcoming file type tests.
Have any questions?
Frequently Asked Questions
What is UnDatasIO?
UnDatasIO is a powerful online data parsing tool designed to help users easily extract and process data from various format files.
What file formats does UnDatasIO support?
UnDatasIO supports multiple common file formats, such as PDF, MP4, MP3, M4A,DOCX,PPTX,PNG,JPG,HTML, and so on. We continue to add support for more formats.
What is the security of UnDatasIO? Is my data secure?
We attach great importance to data security. All uploaded files and parsing results are encrypted and stored, and are protected by strict security measures.
How credit works in UnDatasIO?
UndataslO operates on a credit-based system for its parsing services. Here's how credits are used: Document Parsing: 1 credit = Parsing of 1 page (PDF, DOCX, JPG, PNG, HTML, MD) Audio/Video Transcription: 1 credit = 10 seconds of transcription Video Segmentation: 1 credit = 10 seconds of segmentation Your UndataslO credits are shared across all services, allowing you to combine document parsing, transcription, and video segmentation as needed.
How can I view my remaining credit?
After logging into your UnDatasIO account, you can view the remaining number of credit for the current plan on the account information page.