Top 5 Hebbia Alternatives in 2025

Compare top-rated IDP platforms that outperform Hebbia with better accuracy, lower costs, and specialized features for diverse business needs.
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Top Hebbia Alternatives Ranked

Overview

G2 Rating
11 reviews
55 reviews
24 reviews
36 reviews
700 reviews
15 reviews
Target Market Segments
Enterprise
Mid-Market + Enterprise
Enterprise
Enterprise
Enterprise
Enterprise
Pricing
Starts at 15,000 per seat/year
Starts at $0.15 per 1000 pages
Starts at $1.5 per 1000 pages
Starts at $1.5 per 1000 pages
Custom Pricing
Custom Pricing
Free Trial
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Key Features

Pre-Processing

OCR
Auto-Split
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Auto-Classification
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Data Extraction & Review

Active Document Type Folder View
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Pre-Trained Models
Lacks industry-specific pre-trained models.
100+ pre-trained models for varied document types and industry-specific use cases.
15+ pre-trained models that cater to invoices, loan applications, and identity documents.
15+ specialized pre-trained models with support in multiple languages.
Limited to only three document types - Generic, Invoice, and Purchase Order templates.
The pre-trained models cater to commercial real estate lending use cases primarily.
Training Custom Models
Uses prompt-based customization instead of true machine learning model training.
Ability to train the AI+ML model on your custom document type with just 10 documents.
Requires AWS expertise and complex to set up for non-technical users.
Customization can be complex.
Complex and requires manual schema configuration for each document type.
No custom model training available.
Document Reviewer
Spreadsheet-like interface, but lacks traditional document review screens with annotation capabilities.
Premium review screen experience with customizable fields.
Clean and easy-to-use UI with the option to customize fields.
Requires IT team support which complicates the customization.
Basic review screen experience with limited customization options.
Overwhelming review screen experience for non-technical users.
GenAI Document Summarizer
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Data Extraction from Large PDFs
Adept at handling large documents.
Accurate data capture from large documents with 50+ pages.
Takes a long time to batch process from larger documents.
Allows specification of number of pages to batch process, but takes a long time.
Limits extraction of PDFs above 50 pages.
Longer processing time for documents with 20+ pages.
Duplicate File Detection
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Accuracy
92%
95-99%
93%
93%
82%
90%

Import & Export

API Access
Webhooks Access
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Custom Integrations
200+ third-party apps available for integration via APIs.
10+ third-party apps available for integration.
Complex to set up.
Complex to set up.
Strong within the MuleSoft ecosystem, but limited with other third-party applications.
Complex to set up.

Data Validation

Custom Formulae
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Post-Processing with Custom Code
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Master Data
Look-up
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Analytics

Document Processing Dashboard
Basic dashboard functionality.
Detailed reporting dashboard with usage, accuracy and time-savings data.
No dashboard.
No dashboard.
Basic dashboard functionality.
Basic dashboard functionality.
Auto-Categorization
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Workflow

Assign Users for Review
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Support

Dedicated Account Manager
Available in the Enterprise plan only.
1:1 consultation with a dedicated automation expert.
Comes at an additional cost.
Comes at an additional cost.
Comes at an additional cost.
Available in the higher-tier plans.

Test-drive Docsumo’s Data Extraction Tool

Upload your own set of documents or use our samples to see how Docsumo's data extraction works.
[Supports up to 5 pages & 35MB]

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Docsumo Document AI vs Hebbia

  • Document specialization: Hebbia excels at research and analysis tasks with unlimited document processing capabilities, while Docsumo offers 100+ industry-specific pre-trained models for varied document types.
  • Processing accuracy: Hebbia achieves 92% accuracy on complex legal and financial documents, whereas Docsumo delivers 95-99% straight-through processing for a wide range of business documents.
  • Processing methodology: Hebbia focuses on document synthesis and multi-agent analysis workflows, whereas Docsumo emphasizes structured data extraction with automated validation rules.
  • Processing methodology: Hebbia focuses on document synthesis and multi-agent analysis workflows, whereas Docsumo emphasizes structured data extraction with automated validation rules.

Verdict -

Hebbia suits enterprises needing sophisticated document research and analysis capabilities, while Docsumo is ideal for organizations requiring high-accuracy structured document processing with cost-effective pricing.

Google Document AI vs Hebbia

  • Processing complexity: Hebbia handles unlimited document sizes through infinite context windows for complex analysis, while Google Document AI processes standard documents with 93% OCR accuracy.
  • Ease of use: Hebbia requires specialized training for its Matrix interface and prompt engineering, whereas Google Document AI offers a cloud-native architecture with more straightforward API integration.
  • Processing accuracy: Hebbia delivers 92% accuracy on complex research documents, but Google Document AI achieves 93% accuracy for standard OCR and form processing tasks.
  • Document types: Hebbia specializes in unstructured research materials and complex legal documents, whereas Google Document AI focuses on standard business forms and structured documents.

Verdict -

Hebbia excels for enterprises requiring advanced document research and synthesis capabilities, while Google Document AI suits organizations needing cost-effective, scalable OCR and form processing.

Amazon Textract vs Hebbia

  • Processing scope: Hebbia processes unlimited document volumes with multi-agent synthesis capabilities, while Amazon Textract focuses on structured text, forms, and table extraction with 93% accuracy.
  • Technical requirements: Hebbia offers managed service with enterprise support and training, whereas Amazon Textract requires AWS expertise for setup and integration.
  • Processing accuracy: Hebbia achieves 92% accuracy on complex research documents, but Amazon Textract delivers 93% accuracy for standard OCR and form processing.
  • Document handling: Hebbia excels at contextual analysis across thousands of documents simultaneously, while Amazon Textract processes individual documents with natural language querying capabilities.

Verdict -

Hebbia is superior for enterprises needing comprehensive document research and analysis workflows, while Amazon Textract suits organizations requiring cost-effective OCR and structured data extraction within AWS ecosystems.

Mulesoft IDP vs Hebbia

  • Document templates: Hebbia processes any document type with unlimited analysis capabilities, whereas MuleSoft IDP offers only three basic templates (Generic, Invoice, Purchase Order).
  • User interface: Hebbia provides a sophisticated Matrix spreadsheet interface for complex analysis, whereas MuleSoft IDP offers basic document processing within Salesforce workflows.
  • Processing accuracy: Hebbia delivers 92% accuracy on complex legal and financial documents, while MuleSoft IDP achieves only 82% accuracy with basic confidence scoring.
  • Integration focus: Hebbia specializes in document research and analysis workflows, but MuleSoft IDP prioritizes integration within the Salesforce ecosystem over document processing excellence.

Verdict -

Hebbia excels for enterprises requiring advanced document analysis and research capabilities, while MuleSoft IDP suits organizations prioritizing Salesforce ecosystem integration over document processing sophistication.

Ocrolus vs Hebbia

  • Industry specialization: Hebbia serves diverse enterprise sectors with general document research capabilities, while Ocrolus focuses exclusively on financial services with 99%+ accuracy for banking documents.
  • Processing accuracy: Hebbia achieves 92% accuracy across various document types, whereas Ocrolus delivers 99%+ accuracy specifically for financial documents with human-in-the-loop validation.
  • Fraud detection: Hebbia lacks specialized fraud detection capabilities, but Ocrolus provides advanced fraud detection with authenticity scoring and file tampering detection.
  • Document scope: Hebbia processes unlimited document types for research and analysis, whereas Ocrolus specializes in bank statements, tax forms, and mortgage applications with superior financial accuracy.

Verdict -

Ocrolus is superior for financial services organizations requiring specialized accuracy and fraud detection, while Hebbia suits enterprises needing comprehensive document research and analysis across diverse industries.

Docsumo is the best” - That's what they said

Jennifert Perdomo,
Operations Manager, N.S. Trucking

What took days - now only takes seconds.

“We used to spend over 7 minutes on average processing a dispatch ticket to capture the relevant details. Docsumo helped us solve all our data extraction issues in under half a minute. We use the platform frequently and it's very easy to use.”

Jennifert Perdomo,
Operations Manager, N.S. Trucking
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Daniel Tilipman,
Co-Founder & Executive Board Member, National Debt Relief

Our go-to solution for data capture from unstructured documents.

“Docsumo does a very good job for our specific use case. Debt settlement letters vary a lot from each other, but Docsumo manages to capture data accurately almost every single time at an unprecedented processing speed. We’re witnessing a straight-through processing rate of over 95% with Docsumo.”

Daniel Tilipman,
Co-Founder & Executive Board Member, National Debt Relief
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Howard Leiner,
CTO, Arbor Realty Trust

The best Document AI solution any CRE lender needs.

“Amongst others, the biggest advantage of partnering with Docsumo is their data capture accuracy. We’re witnessing a 95%+ STP rate, which means we don’t even have to look at risk assessment documents 95 out of 100 times, and the extracted data is directly pushed into the database.”

Howard Leiner,
CTO, Arbor Realty Trust
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Elaine David,
Principal Architect, Carbon Direct

Huge time savings in parsing utility bills!

“I like that Docsumo is comprehensive regarding both the developer experience and the user experience. The automation results are reliable. With Docsumo, the team efforts are down to either fully automatic parsing or only a few minutes per customer.”

Elaine David,
Principal Architect, Carbon Direct
Read Full Story

Start today with 100 free pages/mo

Choose the better Hebbia alternative and get 10x more efficient with automated document processing.

Five Reasons To Choose Docsumo Over Hebbia

No-nonsense accuracy, every time

Docsumo’s AI models deliver 95%+ accuracy on invoices, bank statements, and more - ideal for finance and ops teams processing high volumes of structured documents. Hebbia specializes in research, not everyday business documents.

Set up in a snap - no coding needed

Docsumo’s pre-trained models and intuitive interface mean you can automate document workflows almost instantly. No lengthy setup or IT headaches - just fast deployment and quick ROI, while Hebbia’s research focus demands complex onboarding.

Interface that feels like you've used it before

Docsumo’s user-friendly dashboard and human-in-the-loop review make it easy for anyone to manage document processing. Review and correct data with a click, keeping workflows accurate and efficient - no PhD in prompt engineering required.

Plug and play with your favourite tools

With powerful APIs, webhooks, and ready-made connectors for CRMs, ERPs, and accounting software, Docsumo fits seamlessly into your business ecosystem. Hebbia, on the other hand, is built for research workflows, not operational automation.

Scale up exactly how you planned

Docsumo’s flexible architecture grows with your business, handling increasing document volumes without costly infrastructure changes. Hebbia’s premium pricing and research focus make scaling for business operations less practical.
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G2 & Capterra Ratings for Docsumo