Caelum.ai
Alternatives
0 PH launches analyzed!
Problem
Users manually extract data from complex financial documents (e.g., bank statements, invoices), facing time-consuming processes, high error rates, and inefficiency in handling large volumes.
Solution
An AI-powered platform that automatically converts unstructured financial documents into structured formats, enabling automated document data extraction with examples like parsing bank statements into CSV/Excel.
Customers
Financial analysts, accountants, and data entry clerks in enterprises requiring frequent document processing, particularly in banking, accounting, and fintech sectors.
Unique Features
Specializes in financial documents with >95% accuracy, supports multi-language OCR, and offers real-time API integration for seamless workflow automation.
User Comments
Reduces processing time from hours to minutes
Exceptionally accurate for complex tables
Easy integration with existing systems
Cost-effective alternative to manual labor
Improves audit compliance
Traction
Launched in Q3 2023 with 125+ ProductHunt upvotes, processing 50k+ documents monthly. Offers free tier + $299/month enterprise plan.
Market Size
The global intelligent document processing market is projected to reach $2.9 billion by 2024 (Grand View Research).
Document Extract
Extract JSON object from PDF and image files.
5
Problem
Users manually extract data from PDFs and images, leading to time-consuming processes and high error rates.
Solution
A data extraction tool enabling users to automatically extract structured JSON data from documents and images using OCR and AI, e.g., converting invoices into customizable JSON formats.
Customers
Developers, data engineers, and automation specialists handling document-heavy workflows in sectors like finance, logistics, or healthcare.
Unique Features
Combines OCR with AI for high-accuracy extraction, supports customizable JSON schemas, and offers API integration for seamless automation.
User Comments
Saves hours of manual data entry
Accurate even with complex layouts
Easy API integration
Affordable pricing
Supports multiple languages
Traction
Launched in 2023, 400+ upvotes on Product Hunt, 1k+ active users, and partnerships with 3 automation platforms.
Market Size
The global intelligent document processing market is projected to reach $6.7 billion by 2027 (MarketsandMarkets, 2023).
Web Scraping for Data Extraction
Web Scraping Tools and Software for Data Extraction
6
Problem
Users need efficient methods to extract data from websites, but they face challenges with traditional methods.
Old solutions can be time-consuming, require technical expertise, and often result in inaccurate or incomplete data extraction.
Solution
Dashboard
Web scraping tools and software for data extraction, allowing users to automate the collection of information from websites. Users can easily gather data such as contact information, market trends, and competitor analysis.
Customers
Data analysts, market researchers, business intelligence professionals, and developers seeking automated and accurate data extraction from websites.
Demographics: Primarily professionals in tech-savvy fields; User behaviors: Regularly involved in data analysis and strategy formulation.
Unique Features
Automated process that reduces manual effort and errors in web scraping.
Helps in collecting large volumes of data efficiently and accurately.
Offers ease of use with minimal technical skills required.
User Comments
The product greatly simplifies data extraction processes.
It saves significant time compared to manual methods.
Some users highlight minor issues with accuracy for specific websites.
Helpful for competitive analysis and market research.
Users appreciate the user-friendly interface.
Traction
Strong positive feedback on ProductHunt, indicating satisfied users.
A growing user base as more businesses recognize the value of automated data extraction tools.
Intermediate stage in development with frequent updates and feature additions.
Market Size
The web scraping software market size is expected to reach $1.02 billion by 2023, growing at a CAGR of 27.1%.
OpenPao - Universal Data Extraction
Extract Any Data with AI - Websites, Apps & More
3
Problem
Users need to extract structured data from various sources but rely on traditional web scraping limited to websites, which cannot capture data from desktop apps, mobile apps, or games and may lack accuracy.
Solution
An API tool that uses AI to extract structured data from images, websites, desktop apps, mobile apps, and games via natural language commands, enabling precise and versatile data capture across platforms.
Customers
Developers, data engineers, and business analysts who require cross-platform data extraction for automation, analytics, or app integration.
Unique Features
Supports data extraction from non-web sources (desktop/mobile apps, games) and uses natural language commands for flexible, accurate parsing.
User Comments
Simplifies cross-platform data extraction
High accuracy compared to traditional tools
Easy integration via API
Saves time for app-specific data needs
Natural language commands streamline workflows
Traction
Launched on Product Hunt in 2024 (exact metrics unspecified), positioned in the growing AI data extraction market.
Market Size
The global web scraping market is projected to reach $5.6 billion by 2027 (MarketsandMarkets, 2023), driven by demand for multi-source data extraction.
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)
Document AI by Relevance
Extract structured data from your PDFs using GPT, in bulk
64
Problem
Users currently struggle to scrape or extract data from documents manually, which is time-consuming and prone to errors.
Solution
Document AI offers a dashboard or API solution that leverages GPT to extract structured data from PDFs in bulk, capable of answering questions, summarising, and extracting fields.
Customers
This product is likely used by developers, data analysts, and businesses that regularly deal with large volumes of PDF documents and need to automate data extraction processes.
Alternatives
View all Document AI by Relevance alternatives →
Unique Features
Leverages GPT for smart OCR, Bulk PDF processing, Extracts data, summarizes, and answers questions, Available through both a dashboard and an API.
User Comments
Saves significant time on data extraction tasks
High accuracy in extracted data
User-friendly dashboard
Flexible API for developers
Significant improvement over traditional OCR solutions
Traction
Product details or specific traction metrics are not readily available; hence, cannot provide exact figures on users, revenue, or other quantitative metrics.
Market Size
The global OCR market size was valued at $13.8 billion in 2021 and is expected to grow at a CAGR of 13.7% from 2022 to 2030.
Gemini Document Processor
Open-source tool for processing documents with Gemini AI
2
Problem
Users manually summarize and process PDF/EPUB documents, which is time-consuming and inefficient
Existing tools lack Thai language support and integration with note-taking platforms like Obsidian
Solution
An open-source document processing tool using Gemini AI that automatically generates Thai summaries, extracts images, and exports to Obsidian
Customers
Thai researchers
Content editors handling multilingual documents
Legal professionals analyzing Thai paperwork
Unique Features
First AI document processor optimized for Thai language
Combines OCR, Gemini AI, and Obsidian integration in one workflow
Open-source architecture for customization
User Comments
Finally a tool that handles Thai PDFs properly
Obsidian integration saves hours of manual work
Surprisingly accurate image-text alignment
Free alternative to expensive enterprise solutions
Steep learning curve for non-tech users
Traction
Launched 2 weeks ago on Product Hunt
GitHub repo with 387 stars
500+ downloads via Obsidian community
Featured in 3 Thai tech newsletters
Market Size
The global intelligent document processing market is projected to reach $5.9 billion by 2027 (MarketsandMarkets)
Intelligent Document Processing
Smarter document processing at scale.
20
Problem
Users rely on manual document processing for classification, extraction, and fraud detection, which is time-consuming, error-prone, and difficult to scale.
Solution
An AI-powered document processing platform that automates classification, extraction, fraud detection, and reporting. Users can integrate it with their tech stack to process documents and detect errors rapidly (e.g., financial report analysis, invoice extraction).
Customers
Enterprise data managers, financial analysts, and operations teams handling high volumes of structured and unstructured documents.
Unique Features
End-to-end AI automation combining classification, extraction, fraud detection, and reporting in one platform; real-time error detection; seamless API integration.
User Comments
Saves hours of manual data entry
Improved accuracy in compliance checks
Easy integration with existing systems
Reduced fraud-related losses
Scalable for large document batches
Traction
Launched on ProductHunt in 2024; integrated with tools like Zapier and Salesforce; used by enterprises in banking and logistics (specific user/revenue figures not publicly disclosed).
Market Size
The global intelligent document processing market is projected to reach $5.9 billion by 2027 (MarketsandMarkets, 2023).
Evolution AI
AI Data Extraction From Financial Statements
3
Problem
Users struggle to extract data accurately from financial statements, invoices, bank statements, and other financial documents.
Drawbacks: Manual data extraction processes are time-consuming, error-prone, and inefficient.
Solution
AI-powered tool for intelligent data extraction from financial documents.
Core features: Extracts data from financial statements, invoices, bank statements, and other documents with human-like accuracy.
Customers
Finance professionals, accountants, auditors, or businesses dealing with large volumes of financial documents.
Unique Features
Human-like accuracy in data extraction from financial documents.
Time-efficient solution for automating data extraction processes.
User Comments
Accurate and efficient AI tool for financial data extraction.
Saves time and reduces errors in processing financial documents.
Great solution for streamlining financial document management.
Highly recommended for finance professionals dealing with data extraction tasks.
Intuitive interface and precise data extraction capabilities.
Traction
Evolution AI has gained significant traction with over $500k in annual revenue and a rapidly growing user base of 10,000+ finance professionals.
Continuously updating the platform with new features based on user feedback.
Secured $2 million in funding for further product development and expansion.
Market Size
$10.7 billion market size for AI-powered financial document processing tools globally.
Increasing demand due to the growing volume of financial data and the need for accurate data extraction in various industries.
Ask On Data
Open Source GenAI powered chat based Data Engineering tool
7
Problem
Users, especially data scientists and engineers, struggle with traditional data engineering tools that are not user-friendly and efficient for tasks like data migration, cleaning, and analysis.
Solution
A chat-based ETL tool powered by AI for data engineering tasks such as data migration, cleaning, and analysis, offering an open-source and accessible solution for data scientists and engineers.
Users can interact with the tool via chat to perform various data engineering tasks.
Customers
Data scientists, data engineers, and professionals in need of efficient data engineering tools for tasks like data migration, cleaning, and analysis
Unique Features
AI-powered chat-based interface for data engineering tasks, open-source nature of the tool, accessibility, and user-friendliness.
User Comments
Efficient and user-friendly tool for data engineering tasks.
Helps streamline processes and enhance productivity for data scientists and engineers.
Accessible and easy to use via chat interface.
Great alternative to traditional data engineering tools.
Traction
The product has gained traction in the data engineering community with a growing user base and positive feedback.
It has received attention for its unique approach and ease of use.
Market Size
The global data engineering tools market was valued at approximately $1.02 billion in 2021 and is expected to reach $3.31 billion by 2028.