Parsio 2.0
Alternatives
79,315 PH launches analyzed!

Parsio 2.0
Automate data extraction with AI-powered document parser
360
Problem
Users struggle with manually extracting structured data from emails, PDFs, and various file formats (Excel, HTML, CSV, XML), leading to hours of wasted time and increased chances of errors.
Solution
Parsio is a tool that automates data extraction from emails, PDFs, and files using AI-powered parsers. Users can extract structured data efficiently and export it to Sheets, webhooks, and over 6000+ apps, greatly enhancing productivity and accuracy.
Customers
The primary users are data analysts, marketers, and small business owners who need to automatically process and analyze large volumes of data for insights, customer relationship management, and operational efficiencies.
Alternatives
Unique Features
AI-powered document parsing, extensive integration with over 6000 apps, and the ability to export parsed data directly to Sheets and webhooks.
User Comments
Efficient and accurate data extraction
Saves substantial amount of time
Easy to use and integrate
Significantly reduces manual errors
Highly customizable to specific data needs
Traction
Specific traction details were not available; however, the product's presence on ProductHunt and its integration capabilities suggest growing adoption.
Market Size
The global document analysis market size is expected to grow from $846 million in 2020 to $3,094 million by 2025, at a Compound Annual Growth Rate (CAGR) of 29.8% during the forecast period.

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)
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.
Alternatives
View all Caelum.ai alternatives →
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).

Trudo AI: AI-Powered Workflow Automation
Python-based workflow tool for automating complex data tasks
70
Problem
Users face challenges in automating complex data tasks due to the lack of user-friendly tools and programming knowledge.
Drawbacks: Lack of user-friendly tools and programming knowledge hinder efficient workflow automation.
Solution
AI-powered workflow automation tool with Python-based nodes
Users can build workflows with Python-powered nodes and an AI copilot that generates nodes from plain English descriptions allowing for easy modification in both Code and UI formats.
Customers
Data analysts, developers, and businesses requiring automation for complex data tasks
Data analysts, developers, and businesses seeking to automate complex data tasks.
Unique Features
AI copilot for generating nodes from plain English descriptions
Full control over adjustments in both Code and UI formats
User Comments
Intuitive and easy to use for automating workflows
Efficient tool for building automation processes with Python nodes
User-friendly interface for modifying workflow nodes
Great balance between customization and automation
Saves time and simplifies complex data task automation
Traction
Trudo.ai has gained traction with over 10,000 users
Positive user feedback on new features and updates
Continuous growth in user base and adoption
Market Size
Global workflow automation market size is estimated to reach $27.5 billion by 2026
Increasing demand for automation tools in various industries drives market growth

RecordsKeeper.AI
AI-Powered Records & File Management Automation
54
Problem
Users manually organize and manage large volumes of records and files, facing challenges in ensuring compliance, reducing human error, and efficiently extracting actionable insights from unstructured data.
Solution
A platform enabling AI-powered automation of record/document management and compliance via a ChatGPT-like interface, transforming raw data into structured, actionable intelligence. Example: Automatically categorizing files, generating summaries, and flagging compliance risks.
Customers
Compliance officers, data managers, and IT administrators in regulated industries (e.g., healthcare, finance, legal) who handle sensitive documents and require audit-ready systems.
Unique Features
ChatGPT-like natural language interaction for querying records, AI-driven compliance risk detection, and automated metadata tagging across unstructured data sources.
User Comments
Saves hours on manual filing
Simplifies audit preparation
AI accurately identifies sensitive data
Intuitive interface reduces training time
Cost-effective for SMEs
Traction
Launched v2.0 with compliance automation in Q3 2023, used by 500+ teams, processes 1k+ files daily, $20k MRR, founder has 1.2k followers on LinkedIn.
Market Size
The global enterprise file management market is projected to reach $5.66 billion by 2027, driven by increasing regulatory demands and digital transformation.
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).

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.

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.
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.

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.