EzLLM
Enhance your data pipelines with the power of large language models
Join Now and Get a $10 CreditEzLLM is a developer tool that opens the door to the LLM ecosystem
Automatic web scraping, natural language processing and semantic search capabilities, all in as little as three lines of code
Features
File Parsing
Seamlessly interpret various file formats, including PDF, Docx, Transcripts, and more
Semantic Search
Leverage embedding and vector databases that provide next generation in search capabilities
Extraction
Parse structured data from unstructured inputs. Web Scrapers, Transcripts, PDF Invoices and more
Q&A
Question and answer against your documents, enabling literature review, document interaction, and automated tech support
Summarization
Efficiently distill key points and essential information from large bodies of text
Classification
Categorize and tag documents or segments based on user defined criteria
Image Data Extraction
Extract structured data from images and interpret change over time
Custom Integration
Tailor the platform to your needs with custom API integrations and plugins
Automation
Automate repetitive tasks, freeing up time for more strategic activities
Use Cases
Invoice Extraction
- This is an example of the Extraction Feature, where we are parsing data from a PDF invoice.
Before EzLLM scraping data from a PDF / website required tailor-made software that was prone to breaking when the PDF / HTML template would change.
Other use cases of the Extract Method:- Web scraping
- Parsing insurance rate sheets
- Extracting transcript topics over time
Time-lapse Image Data Extraction
- In this example we're leveraging multi-modal LLMs and our Extraction Method to categorize changes in a construction site time lapse.
Other use cases of the Image Data Extraction:- Optical Character Recognition
- Marketplace Item Identification
- Interpretation of Data Visualizations
Literature Review and Meta-analysis
- In this example we utilize the Q & A feature to perform literature review across a collection of academic papers, asking the following questions: "What is the sample size?", "Does this pertain to my thesis of LLMs used for data extraction?", "Do the findings show that LLMs are great?"
Other use cases of the Q & A:- Law Review
- Market Analysis
- Policy Analysis
"EzLLM makes things possible that previously weren't"
