Top 5 Google Doc AI Alternatives in 2025

Docsumo adopts to your data capture needs, automates your workflow end to end & provides you with analytics for decisioning. All packaged in simple, fair usage-based pricing.
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Top Google Document AI Alternatives Ranked

Document AI
Docsumo
Textract
FlexiCapture
Rossum
Nanonets

Overview

G2 Rating
36 reviews
55 reviews
24 reviews
10 reviews
90 reviews
78 reviews
Target Market Segments
Enterprise
Mid-Market + Enterprise
Enterprise
Enterprise
Mid-Market
Mid-Market
Pricing
Starts at $1.5 per 1000 pages
Starts at $0.3 per page
Starts at $1.5 per 1000 pages
Starts at $169 per month
Starts at $1500 per month
Starts at $0.3 per page
Free Trial

Key Features

Pre-Processing

OCR
Auto-Split
Auto-Classification

Data Extraction & Review

Active Document Type Folder View
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Pre-Trained Models
15+ specialized pre-trained models with support in multiple languages.
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.
Limited set of pre-trained models for invoices and regulatory documents.
25+ pre-trained models that only cater to generic use cases.
Limited pre-trained models for certain industries.
Training Custom Models
Requires IT support to train the model and customization is complex.
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.
Requires IT support to train the NLP-led model and customization is very complex.
Long-drawn training process involving multiple steps and significant work hours to set up.
Provision to train the custom model with 10 sample documents.
Document Reviewer
Requires IT team support which complicates the customization.
Premium review screen experience with customizable fields.
Clean and easy-to-use UI with the option to customize fields.
Overwhelming review screen with a steep learning curve.
Clean and easy-to-use UI without the option to customize fields.
Similar UI to ABBYY. Has a built-in JSON output viewer.
GenAI Document Summarizer
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Data Extraction from Large PDFs
Allows specification of number of pages to batch process, but takes a long time.
Accurate data capture from large documents with 50+ pages.
Takes a long time to batch process from larger documents.
Lengthy processing time to capture data from large documents.
Inaccurate data capture for documents over 3 pages long.
Processes documents over 3 pages long in async mode at 2 pages per minute.
Duplicate File Detection
Accuracy
93%
95-99%
93%
82%
82%
93%

Import & Export

API Access
Webhooks Access
Custom Integrations
Complex to set up.
10+ third-party apps available for integration.
Complex to set up.
10+ third-party apps available for integration.
20+ third-party apps available for integration.
Limited third-party apps available for integration.

Data Validation

Custom Formulae
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Post-Processing with Custom Code
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Master Data
Lookup
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Analytics

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

Assign Users for Review
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Support

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

Start today with 100 free pages/mo

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

Google Document AI vs Docsumo

Docsumo offers a more flexible and user-friendly approach to document automation compared to Google Document AI.

  • Pricing: Docsumo ($0.3/page with 100 free pages/month) vs Google ($1.50/1,000 pages)
  • Model customization: Docsumo (10 sample documents) vs Google (complex IT-dependent process)
  • Pre-trained models: Docsumo (30+ specific APIs) vs Google (15+ generic models)
  • Data validation: Docsumo (Excel-like formula rules) vs Google (no complex business validations)
  • Processing efficiency: Docsumo (90%+ touchless processing) vs Google (manual retraining required)
  • Interface customization: Docsumo (configurable review screens) vs Google (static interface, IT support needed)

Verdict -

Docsumo outperforms Google Document AI in customization, efficiency, and user-friendliness, making it a superior choice for complex document processing needs.

Google Document AI vs AWS Textract

AWS Textract offers enhanced functionality but with higher complexity compared to Google Document AI.

  • Pricing: Both at $1.50 per 1,000 pages
  • OCR accuracy: Both at 93%
  • Unique features: Textract (natural language queries, layout recognition) vs Google (consistent handwritten text processing)
  • Integration: Textract (requires AWS expertise) vs Google (cloud-native architecture)
  • Scalability costs: Google more economical for high-volume basic OCR
  • Language support: Both primarily optimized for English

Verdict -

Google Document AI edges out AWS Textract with easier integration and better cost-efficiency for high-volume processing.

Google Document AI vs ABBYY FlexiCapture

ABBYY FlexiCapture targets enterprise users with advanced features but at a higher price point than Google Document AI.

  • Pricing: ABBYY ($34.50-$49.50 annually for individual plans) vs Google (pay-as-you-go)
  • Document support: ABBYY (specialized formats, multi-language) vs Google (more limited)
  • Interface: ABBYY (graphical, direct PDF editing) vs Google (API-focused)
  • Learning curve: ABBYY (technical expertise required) vs Google (simplified cloud integration)
  • Compliance features: ABBYY (audit trails, version control) vs Google (basic processing history)
  • Batch processing: ABBYY (efficient local processing) vs Google (cloud-based)

Verdict -

ABBYY FlexiCapture is superior for enterprises requiring advanced OCR capabilities and compliance features, despite its higher complexity and cost.

Google Document AI vs Rossum

Rossum specializes in financial document automation with more accurate and integrated solutions compared to Google Document AI.

  • Pricing: Rossum ($1,500/month) vs Google (pay-as-you-go)
  • Accuracy: Rossum (95%+ on financial documents) vs Google (general-purpose)
  • ERP integrations: Rossum (polished SAP, Oracle integrations) vs Google (generic API endpoints)
  • Customization: Rossum (visual editors) vs Google (code-based configuration)
  • Validation tools: Rossum (financial-specific) vs Google (general-purpose)
  • Document scope: Rossum (focused on transactional) vs Google (broader support)

Verdict -

Rossum excels in financial document processing, offering superior accuracy and integrations, but lacks Google's versatility across document types.

Google Document AI vs Nanonets

Nanonets provides a no-code alternative to Google Document AI with comparable pricing to Docsumo.

  • Pricing: Nanonets ($0.3 per page) vs Google ($1.50 per 1,000 pages)
  • Model creation: Nanonets (drag-and-drop) vs Google (programming-intensive)
  • Pre-trained models: Nanonets (fewer types) vs Google (more offerings)
  • Integrations: Nanonets (direct accounting software connectors) vs Google (custom API development)
  • Processing speed: Nanonets (2 pages/minute for complex documents) vs Google (real-time for simpler forms)
  • Training data requirements: Nanonets (50+ samples for unique types) vs Google (10-sample baseline)Rossum (focused on transactional) vs Google (broader support)

Verdict -

Nanonets offers a more accessible platform for non-technical users, but Google Document AI provides broader document support and faster processing for simpler forms.

Arbor Logo
Best Document AI solution that comes with pre-trained APIs a CRE lender needs
"Amongst others, the biggest advantage of partnering with Docsumo is the data capture accuracy they’re able to deliver. We’re witnessing a 95%+ STP rate, that 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
Docsumo is your go-to solution if you need a flexible solution to capture data from unstructured documents
“Docsumo does a very good job when it comes to 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 the processing speed which is unprecedented. We’re witnessing the STP rate of over 95% with Docsumo.
Daniel Tilipman
President & Co-Founder, National Debt Relief
Jones Logo
With Docsumo we are now able to process thousands of ACORD Forms in a day
“We were looking for a tech partner to automate analysis of certificates of insurance for our real estate liability management software. We are really happy with Docsumo’s APIs and their team’s dedication to solving our problem. We are now able to process thousands of ACORD forms a day automatically while being able to get accurate analytics from over 100 data points”
Michael Rudman
Co-founder & CTO, Jones
With Docsumo, we are now able to save more than 500 hours per month.
BiagiBros Logo
“With Docsumo, we are now able to assign barcodes in less than 2 mins. The same process used to take us 20 mins previously. We are now saving hundreds of hours a month generating Advanced Shipment Notifications. It has reduced manual errors drastically.”
Neil Lawrence
Business Process Manager, BiagiBros, California
Westland Logo
One solution for different utility bill formats
“We’re processing utility bills from 6 different service providers for portfolio management. The challenge was to have just one solution to process all different versions of bills to save us the hassle of retraining & switching amongst multiple solutions. Docsumo has been able to deliver just that - one solution for all different variations.“
Shani Nowlin
Chief Technology Officer Westland Real Estate Group
Payu Logo
Best in class for capturing data from financial documents
“We are using Docsumo’s APIs for automating data capture from bank statements and identity cards while on-boarding customers. It has reduced the time our operations team spends on data entry by manifolds while providing a much better customer experience.”
Prashanth Ranganathan
CEO, PayU Credit

6 Reasons why data-driven companies move from Google Doc AI to Docsumo

Built for businesses that require end-to-end automation

Google Doc AI needs an in-house engineering team to integrate the solution within your workflow, and to retrain for any changes in documents you're processing.

Docsumo comes with 30+ pre-trained APIs which means you can plug-and-play and start capturing data straight away.

Reduce risk by validating data

Docsumo brings in an extra layer of accuracy with Excel-like formula rules to address complex business conditions.
 
Google cloud document ai lacks the capability to handle these intricate business case validations.

Didn't find your API?
Train yours easily

Create your own API by training on your model with as few as 50 documents. As the volume of documents increases, the more accurate it becomes.

Get on a call with our experts to try our sandbox environment before you try out Google Document AI API.

Get used to 90%+ touchless processing

Google Cloud document ai falls short in accuracy when dealing with documents exhibiting significant variability.

Docsumo, on the other hand, introduces an additional layer of verification through human-in-the-loop and automated alerts for data review. As the model learns, more documents are processed automatically, reducing manual work.


Integrate easily with your existing systems

Docsumo seamlessly integrates with your current systems, including CRMs, ERPs, and in-house software. 

Unlike Google Cloud document ai which requires engineering efforts to get data in your preferred output formats such as MS Excel and JSON.

Get used to easy preprocessing

Automatically categorize, sort, and organize incoming documents into different types. Docsumo also has the ability to split PDFs or extract tables from multi-PDF documents as per user-set conditions. 

GCP document ai cannot split multi-PDF documents and can only categorize a limited set of document types.
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