Parseur is an AI-powered document processing tool that extracts data from emails and PDFs automatically. It helps businesses convert unstructured documents into organized, usable data without manual entry.
Here’s what Parseur does well:
- Reads text from PDFs and emails using AI and OCR
- Creates templates by pointing and clicking at the data you need
- Extracts information from tables automatically
- Works with documents in multiple languages
- Sends data to Excel, Google Sheets, or your other work tools
- Handles documents with multiple pages
- Processes similar documents automatically once you set it up
Parseur’s plans start at $99 per month, which includes processing for standard documents. The Professional plan costs $299 per month for more advanced features.
Many companies look for other options because:
- Better handling of complex PDF layouts
- More advanced table extraction capabilities
- Stronger processing of scanned documents
- More flexible template customization
- Better handling of inconsistent document formats
Let’s look at ten alternatives that might work better for your needs.
A quick comparison of Parseur alternatives
| Tool | Core technology | Free version | Integrations | Best for | Key advantage | G2 Rating (Max 5) |
|---|---|---|---|---|---|---|
| Parseur | AI/Template | Yes | Many | Varied formats | Visual template builder | 4.9 |
| Mailparser | Rule-based | Yes | Limited | Emails | Email automation | 4.7 |
| Parserr | Rule-based | No | Basic | Emails | Text parsing | NA |
| Parsio | GPT/AI | Yes | Many | All formats | GPT-powered extraction | 4.7 |
| Mailgun | API-based | No | Basic | Developers | API flexibility | NA |
| Airparser | GPT/AI | Yes | Many | Complex docs | GPT-powered extraction | NA |
| Nanonets | Deep Learning | Yes | Extensive | Enterprise | High accuracy and varied document layouts | 4.8 |
| Docparser | Zonal OCR | Yes | Many | Fixed layouts | PDF extraction | 4.6 |
| ABBYY | Content IQ | No | Enterprise | Enterprise | Invoice extraction | 4.1 |
Now, let’s explore each alternative in detail.
1. Mailparser
Mailparser is a web-based tool that automatically extracts data from emails and attachments, converting it into structured formats. It helps businesses eliminate manual data entry by processing incoming emails, attachments, and documents through customizable parsing rules.
Key features:
1. Extracts data from email body, subject lines, and attachments
2. Processes multiple file types (PDF, Excel, ZIP)
3. Supports table extraction and formatting
4. Offers ready-to-use templates for common tasks
5. Provides webhook integrations for real-time data transfer
6. Exports to multiple formats (Excel, CSV, JSON, XML)
7. Allows multiple mailboxes for different parsing needs
Pricing details: Offers a tiered pricing structure: Starter at $29.95/month (30 emails), Professional at $39.95/month (500 emails), Business at $99.95/month (2000 emails), and Premium at $299.95/month (10000 emails). Free plan available.
| Pros of Mailparser | Cons of Mailparser |
|---|---|
| Easy setup for basic parsing needs | Learning curve for complex rules |
| Reliable data extraction accuracy | Limited data retention period |
| Extensive integration options | Setup can be overwhelming initially |
| Processes multiple file formats | More expensive for high volumes |
Best suited for: Small to mid-sized companies handling emails monthly, especially sales teams and customer service departments. Good fit for businesses who need to automate lead capture and order processing without dedicated technical staff.
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When to choose Mailparser: If you’re looking for a more budget-friendly starting point and mainly work with email-based data extraction. It works well for simple parsing needs.
2. Parserr
Parserr is an email parsing tool that converts incoming emails and attachments into structured data. It specializes in handling non-tabular data and complex PDF processing, helping businesses automate their data extraction workflows.
Key features:
1. Custom parsing rules for emails and attachments
2. Google Sheets integration
4. Multiple inbox support
5. PDF data extraction
5. Zapier integration
6. Data formatting options
7. Automated workflow support
Pricing details: Starting price of $49.99/month. No free plan available, but offers a trial period. Higher tiers available based on volume needs.
| Pros of Parserr | Cons of Parserr |
|---|---|
| Excellent at processing non-tabular data | Complex initial configuration |
| Strong hands-on customer support | Time zone management issues |
| Flexible parsing capabilities | Data export can be unreliable |
| Good PDF processing | Limited self-service documentation |
Best suited for: Small to mid-sized businesses in healthcare, IT services, and financial sectors who need to process complex PDFs and non-tabular data.
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When to choose Parserr: If you need robust support for non-tabular data extraction. Its flexible parsing rules work well for complex PDF processing, and their support team helps with configuration.
3. Parsio
Parsio is an AI-powered document extraction platform that converts emails, PDFs, and attachments into structured data. It uses both template-based parsing and GPT technology to automate data extraction from various document types.
Key features:
1. Visual template creation
2. GPT-powered parsing
3. Table data extraction
4. Multiple file format support
5. Google Sheets integration
6. Webhook support
7. Pre-trained AI models
8. Automatic layout detection
Pricing details: Four-tier pricing model: Sandbox (free with 30 credits), Starter at $41/month (1,000 credits), Growth at $124/month (5,000 credits), and Business at $249/month (12,000 credits). Each credit equals one parsed document.
| Pros of Parsio | Cons of Parsio |
|---|---|
| Intuitive visual interface | Struggles with complex layouts |
| Strong attachment handling | Limited template customization |
| GPT-powered extraction | Learning curve for tables |
| Multiple integration options | Some features need improvement |
Best suited for: Small to mid-sized businesses processing documents monthly, particularly in finance, accounting, and operations. Works well for organizations that need to process both emails and attachments, especially those using automation tools like Zapier or Make.
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When to choose Parsio: If you need an intuitive visual interface for processing both emails and attachments, particularly if you want GPT-powered extraction capabilities. Its point-and-click approach and automatic layout detection make it easier for non-technical users.
4. Mailgun Parser
Mailgun Parser is a developer-focused email processing tool that converts incoming emails into structured JSON data. It’s part of Mailgun’s larger email service platform, designed for technical teams who need to integrate email processing into their applications.
Key features:
1. Automatic email data extraction
2. JSON data conversion
3. Inbound email routing
4. Message thread handling
5. Spam filtering
6. API integration
7. UTF-8 support
8. Webhook endpoints
Pricing details: Not sold separately; included with Mailgun services.
| Pros of Mailgun Parser | Cons of Mailgun Parser |
|---|---|
| Robust API capabilities | Requires development skills |
| Reliable processing | Limited to basic email data |
| Built-in spam filtering | No visual interface |
| Flexible routing options | Complex setup process |
Best suited for: Development teams and technical organizations that need to integrate email processing directly into their applications. Works best for companies with in-house development resources who need programmatic access to email data.
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When to choose Mailgun Parser: If you have development resources and need to integrate basic email processing into your application through API calls.
5. Airparser
Airparser is a GPT-powered data extraction tool that turns complex documents into structured data. It uses artificial intelligence to understand document context and extract information without requiring manual template creation.
Key features:
1. AI-powered data recognition
2. Natural language processing
3. Multi-format document support
4. Automatic field detection
5. Integration capabilities
6. Post-processing options
7. API availability
8. Real-time extraction
Pricing details: Starts at $39/month. Free trial available with no credit card required. Custom pricing for enterprise needs.
| Pros of Airparser | Cons of Airparser |
|---|---|
| Excellent at handling unstructured data | Occasional accuracy issues with poor quality documents |
| Intuitive AI-based extraction | Can struggle with incomplete data fields |
| Minimal setup required | Higher cost for large volumes |
| Good with complex documents | Limited collaboration features |
Best suited for: Small businesses who regularly process varied document formats and need intelligent data extraction without technical expertise. Particularly valuable for companies dealing with unstructured or inconsistent document layouts.
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When to choose Airparser: When you need intelligent processing of complex, unstructured documents and prefer a more automated approach with minimal setup.
6. Nanonets
Nanonets is an AI-powered document processing platform that automates complex data extraction from invoices, receipts, bank statements, medical records, and purchase orders. It reduces manual data entry through its deep learning models and advanced OCR technology, making it particularly effective for high-volume, accuracy-critical operations.
Key features:
1. Automated document ingestion from emails, cloud, forms, and just about any data source
2. Intelligent field detection for invoices and financial documents
3. Built-in validation rules for data accuracy
4. Custom extraction models for unique document types
5. Support for 40+ languages
6. Automated line item reconciliation
7. Real-time API and custom post-processing rules
8. Pre-built templates for common financial documents
9. Comprehensive audit trails
Pricing details: Offers a free plan with 500 pages/month. Pro plans available with custom pricing and features.
| Pros of Nanonets | Cons of Nanonets |
|---|---|
| AI-powered extraction eliminates need for templates | Premium pricing for lower volumes |
| Handles complex, unstructured documents reliably | Model training requires initial setup time |
| Advanced table and line item recognition | Interface needs more streamlining |
| Processes poor quality scans effectively | Some features have learning curve |
| Maintains accuracy across varied document types | |
| Comprehensive API and integration options | |
| Built-in data validation and error checking | |
| Scales easily for high-volume processing |
Best suited for: Mid-sized to large organizations, particularly in finance, healthcare, and operations. Works well for companies needing high accuracy in complex document processing and willing to invest in a robust solution.
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When to choose Nanonets: When accuracy and reliability are critical to your operations. Its deep learning models efficiently handle complex documents that challenge simpler parsing tools, and its enterprise-grade support ensures successful implementation.
7. Docparser
Docparser is a document processing tool that extracts data from PDFs, Word documents, and image files using zonal OCR and AI technology. It helps businesses automate data extraction from structured documents like invoices, purchase orders, and forms.
Key features:
1. Zonal OCR for data extraction
2. Template-based parsing rules
3. Table data extraction
4. Cloud storage integration
5. Multiple export formats
6. API access
7. Integration with major business tools
Pricing details: Begins at $39/month for 100 pages. Professional plan at $74/month includes 250 pages. Business plan costs $159/month for 1000 pages. Enterprise plans available with custom pricing. Free trial available.
| Pros of Docparser | Cons of Docparser |
|---|---|
| Strong PDF processing capabilities | Steep learning curve for complex documents |
| Good table extraction | Limited template customization |
| Reliable for consistent layouts | Setup can be time-consuming |
| Multiple integration options | Complex parsing rules required |
Best suited for: Small to mid-sized businesses, particularly in finance, accounting, and operations departments. Works best for organizations with dedicated technical resources who need to process structured documents with predictable layouts.
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When to choose Docparser: If you primarily handle structured documents with consistent layouts or if you need precise control over data extraction. Its is great for documents with fixed formats.
8. ABBYY FlexiCapture
ABBYY FlexiCapture is an enterprise document processing solution that uses AI to automate data extraction from invoices and business documents. It’s designed for large-scale document processing with built-in verification workflows.
Key features:
1. Advanced document classification
2. Machine learning capabilities
3. Built-in verification station
4. Multi-format document support
5. Automated data validation
6. Workflow automation
7. Azure cloud deployment
8. ERP system integration
Pricing details: Enterprise-focused pricing with custom quotes based on volume and features needed. No free plan available.
| Pros of ABBYY FlexiCapture | Cons of ABBYY FlexiCapture |
|---|---|
| Strong invoice processing capabilities | Complex setup and configuration |
| Robust verification workflows | Significant training required |
| Good for high-volume processing | Platform flexibility limitations |
| Supports multiple input channels | Higher error rate on complex documents |
Best suited for: Large enterprises and mid-sized organizations processing high volumes of structured documents, particularly in finance and accounting departments.
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When to choose ABBYY FlexiCapture: When you need enterprise-grade document processing with built-in verification workflows, especially for invoice processing at scale.
Checklist for evaluating Parseur competitors
If you’re considering alternatives to Parseur, use this checklist to identify what matters most for your needs.
Core requirements
- Do you primarily process emails or other document types?
- Do you need template-free processing?
- How many documents do you process monthly? (Parseur starts at $99/month)
- Do you need automatic layout detection?
Technical needs
- Are you comfortable with rule-based setup?
- Do you need AI-powered extraction?
- Will non-technical staff be using the system?
- Do you need custom API access?
Critical features
- Is table extraction essential?
- Do you need to process varied document layouts?
- Which systems need the extracted data? (Zapier, sheets, CRM)
- How quickly do you need support responses?
Consider your requirements and goals and answer these questions. It will help you figure out whether to choose a simpler tool like Mailparser, an AI-powered solution like Nanonets, or something in between.
Note: Some observations are sourced from online review platforms. These opinions reflect individual user experiences and may not represent the current state of the product or be universally applicable. Readers should consider them in context and conduct their own research for the most up-to-date information. Pricing and G2 ratings are as of November 11, 2024. These may change. Verify all pricing details directly with vendors, as enterprise software costs can vary significantly based on deployment options, volume requirements, and negotiated terms.
FAQs
What is parsing in email?
Email parsing automatically extracts specific data from email bodies and attachments. It helps capture important information like order details, customer information, or support requests without manual copy-pasting.
Parseur uses AI and templates to extract data from documents automatically. Simply highlight the information you need once, and it will process similar documents using that template. No coding or complex rules required.
What is the best AI tool to extract PDF files?
For complex PDFs with varying layouts, AI-powered tools like Nanonets offer the highest accuracy. For simpler, structured PDFs, template-based solutions like Parseur or Docparser work well. Choose based on your document complexity and volume.
What does it mean to parse data?
Parsing data means automatically extracting specific information (like invoice numbers, dates, amounts) from documents and converting it into structured, usable formats that can be used in other systems like spreadsheets or databases.
