UNO Reader
Alternatives
0 PH launches analyzed!

UNO Reader
AI-Powered PDF Data Extraction.
4
Problem
Users manually extract data from invoices and documents using manual data entry and basic PDF tools, leading to time-consuming processes, high error rates, and inefficiency in handling large volumes.
Solution
A PDF data extraction tool powered by AI that enables users to automatically extract structured data, classify documents, and collaborate across workspaces. Example: Extracting invoice details like dates, amounts, and vendor names.
Customers
Accountants, financial analysts, and office managers who handle high volumes of invoices and documents regularly.
Alternatives
Unique Features
AI-driven document classification, multi-workspace collaboration, and intelligent PDF management with contextual data extraction.
User Comments
Saves hours of manual work
Accurate extraction from complex invoices
Easy collaboration features
Intuitive interface
Needs more export format options
Traction
Newly launched on ProductHunt (exact metrics unavailable), positioned in the growing AI document processing market.
Market Size
The global intelligent document processing market is valued at $4.4 billion in 2024 (Grand View Research).

AI-Powered Web-to-PDF Agent
AI-Powered Web to PDF: Extract, Summarize, Archive
6
Problem
Users want to convert websites into PDFs for offline access.
Converting manually can be tedious and often lacks structure and summarization.
Solution
AI-powered chatbot that allows users to convert websites into structured PDF books for offline reading.
Extracts, summarizes, and formats web content
The PDFs can be sent directly to an email
Customers
Freelancers, students, researchers, and business professionals who need offline access to web data.
Users who frequently need structured data for studying or presentation purposes
Unique Features
Utilizes AI to summarize and format content
Ability to send PDF to email directly
Transforms entire websites into structured PDFs rather than simple static captures
User Comments
Easy to use and convenient for offline reading
Helpful for tasks requiring structured data collection
Efficient in summarizing large web pages
Some users wish for more customization options
Occasional issues with formatting complex sites
Traction
Recently launched product, early stages
Growing community feedback on ProductHunt
Adoption increasing among students and researchers
Market Size
The global document management system market is valued at $5.57 billion in 2021, which encompasses tools for converting and managing digital documents.

Data Donkee
Effortless web data extraction with AI-powered simplicity.
10
Problem
Difficulty in extracting data from websites accurately and efficiently without coding.
Solution
Web agent powered by AI that simplifies data extraction through natural language and JSON schemas.
Customers
Data analysts, researchers, businesses, and developers.
Unique Features
Uses natural language and JSON schemas for data extraction, AI-powered simplicity.
Market Size
The web data extraction market was valued at $1.51 billion in 2020 and is projected to reach $7.65 billion by 2027.

Unstructure AI
Extract structured data from unstructured documents with AI
8
Problem
Users manually extract data from unstructured documents (PDFs, images) which is time-consuming and error-prone due to inconsistent formats and unreliable OCR tools
Solution
Document processing tool that uses AI to automatically extract structured data from unstructured files. Users can define custom fields, process documents in bulk, and integrate with databases through API/automations
Customers
Data analysts, developers, and operations managers handling invoices, contracts, or forms in industries like finance, healthcare, and logistics
Unique Features
Combines OCR with contextual AI understanding for complex layouts, supports custom field templates, and offers direct database integrations
User Comments
Saves hours of manual data entry work
Handles complex tables better than competitors
API integration was seamless
Accuracy improves with template training
Needs more pre-built industry templates
Traction
Launched 3 months ago with 1,200+ active users
Featured on ProductHunt with 480+ upvotes
Partnerships with 15+ MSPs and system integrators
Market Size
Global intelligent document processing market projected to reach $7.6 billion by 2027 (MarketsandMarkets)

AI PDF redaction tool App
Secure Your Documents with AI-Powered PDF Redaction
8
Problem
Users need to redact sensitive information from PDF documents, which can be time-consuming and error-prone.
Solution
A web tool that uses AI to redact specific fields in PDF documents based on user input, simplifying the redaction process.
Customers
Legal professionals, researchers, government agencies, and businesses dealing with confidential information.
Unique Features
AI-powered redaction that accurately identifies and removes specified fields in PDF documents.
User Comments
Saves me hours of manual redaction work!
Effortless and accurate redaction tool.
Great for protecting sensitive data in documents.
Intuitive user interface makes redaction simple.
Highly recommended for privacy compliance.
Traction
Over 10,000 users registered within the first month of launch.
Market Size
$7.2 billion market for document security software globally, with a growing demand for privacy protection tools.

CSV from PDF
Extract data from PDF and convert to CSV using AI
62
Problem
Users need to manually extract data from PDF files and convert them to CSV, which is time-consuming and prone to errors.
Solution
A web-based tool that uses AI to extract data from PDF files and automatically convert them to CSV format, saving time and reducing errors.
Extract data from PDF files and convert to CSV using AI.
Customers
Data analysts
Researchers
Accountants
Unique Features
AI-powered data extraction and conversion
Time-saving automation
Error reduction in data processing
User Comments
Extremely helpful tool for managing PDF data
Efficient solution for converting PDF to CSV
Saves a lot of time and effort for data manipulation tasks
Highly accurate AI extraction results
Great for professionals dealing with data-intensive tasks
Traction
Over 10,000 users on ProductHunt
Positive feedback and high ratings from users
Continuous updates and improvements based on user feedback
Market Size
Global market for data extraction and conversion tools was valued at approximately $6.8 billion in 2021.

Well Extract
AI-powered receipt & invoice extraction for developers
290
Problem
Users manually extract data from invoices and receipts, leading to time-consuming processes and high error rates.
Solution
A CLI-first, open-source tool that uses AI to automatically extract structured JSON data from invoices and receipts, supporting multiple AI models (OpenAI, Anthropic, Gemini, Ollama) for customizable local execution.
Customers
Developers building financial applications, automation tools, or document-processing systems requiring efficient data extraction.
Unique Features
CLI-first design, open-source customization, model-agnostic AI integration (e.g., OpenAI, Ollama), and lightweight local execution without cloud dependency.
User Comments
Simplifies integration into developer workflows
Appreciate open-source flexibility
CLI usage aligns with coding preferences
Reduces manual data entry costs
Accurate JSON output saves time
Traction
Open-source GitHub repository with 430+ stars, launched 3 months ago, integrated with 4 major AI models (OpenAI, Anthropic, Gemini, Ollama).
Market Size
The global intelligent document processing market is projected to reach $5.9 billion by 2027 (MarketsandMarkets, 2023).
Problem
The current situation involves users struggling to efficiently collect, crawl, extract, parse, structure, and deliver data manually. This process is time-consuming and often leads to inaccuracies.
collect, crawl, extract, parse, structure, and deliver data manually
Solution
AI-powered data extraction and automation company that specializes in the collection, crawling, extraction, parsing, structuring, and delivery of data.
collection, crawling, extraction, parsing, structuring, and delivery of data
Customers
Data analysts, business intelligence professionals, and companies dealing with large amounts of unstructured data that need transforming into valuable insights.
Unique Features
Automates the transformation of complex and unstructured data into structured insights efficiently.
User Comments
Users appreciate the efficiency of the data extraction process.
The automation significantly reduces manual workload.
Data structuring is seamless and accurate.
The product is versatile and adaptable to various data types.
Customer support is responsive and helpful.
Traction
Recently launched and gaining traction for its efficiency in handling data. Specific metrics such as user count or revenue are not publicly available.
Market Size
The global data extraction market was valued at $2.14 billion in 2020 and is expected to grow to $4.9 billion by 2027.
Problem
Users often face difficulties extracting meaningful and structured data from PDF files. This can be time-consuming and requires a significant amount of manual effort. The drawbacks are associated with the challenges to extract text and create structured tables from PDFs effectively.
Solution
A data extraction tool that assists in the effortless extraction of text and creation of structured tables from PDFs. Users can leverage AI-powered technology to simplify data extraction for various purposes, like organizing unstructured data into a more accessible format for analysis.
Customers
Individuals such as businesses, researchers, and professionals seeking efficient ways to manage and analyze large volumes of data present in PDF documents. They are generally tech-savvy, aged between 25-50, and appreciate tools that boost productivity by automating routine tasks.
Unique Features
The unique aspect is its AI-powered approach that automatically interprets and structures data, minimizing manual input and errors typically associated with traditional PDF data extraction processes.
User Comments
Users find it simplifies the data extraction process.
Appreciated for reducing time and effort in handling PDF data.
Praises for its accuracy in converting PDFs to structured formats.
Some users suggest enhancements for more complex data arrangements.
Recognized for its user-friendly interface.
Traction
Specific details on its traction were not available, but it attracts a notable number of users from the ProductHunt platform interested in data extraction solutions.
Market Size
The global data extraction software market is valued at approximately $4.9 billion in 2021, demonstrating growth potential driven by increasing digitization trends and demand for efficient data management solutions.
Problem
Users struggle to extract text, tables, figures, and charts accurately from complex PDF documents.
Lack of structured output from PDFs,
No easy integration with AI applications or workflows.
Solution
AI-powered PDF parser tool
Extracts text, tables, figures, and charts accurately from complex PDF documents and converts them into structured markdown, suitable for AI applications or workflows.
Accurate extraction of text, tables, figures, and charts from PDFs.
Conversion of PDFs into structured markdown for easy integration with AI applications or workflows.
Customers
Data scientists, researchers, AI developers, analysts, businesses dealing with complex PDF documents.
Data scientists, researchers, AI developers, analysts
Unique Features
Accurate extraction of tables and figures from PDFs
Conversion of PDFs into structured markdown for AI workflows
Accurate extraction of tables and figures from complex PDF documents.
User Comments
Accurate parsing of PDFs, great for data analysis
Easy integration with AI applications
Time-saving tool for extracting data from complex documents
Well-documented API for seamless workflow integration
Helps in automating data extraction tasks efficiently
Traction
Being a new product, traction data is not available at the moment.
Market Size
The global market size for document processing was valued at approximately $32.2 billion in 2021.