Our OCR and data extraction have delivered excellent results across a wide range of use cases. Accuracy often depends on the document type, structure, and the AI model selected—docAnalyzer.ai gives you access to several top-tier models for flexibility.
We encourage you to try a comparison using your own documents. You can upload samples on our free plan to see how our system performs against others like Koncile and Mindee.
Thanks for your reply. Actually I've tried OCR within DocAnalyzer for big scanned documents and it works quite fine. However, it is disappointing that, after OCR is applied using credits (costly), it is not possible yet to download the OCR converted document with added text layer (the downloaded file is still the original one without text layer). Can you please add this option to your to-do list?
Thank you for the feedback and for testing our OCR feature on large scanned documents — we're glad to hear it’s working well for you! You're absolutely right about the download limitation, and we understand how valuable it would be to retrieve the OCR-processed file with the added text layer. The good news: this is already on our roadmap and planned for a future update.
Q: Improvements for health research?
Hi there,
I tried DocAnalyzer last year, but neeed to refund due to lack of accuracy and depth by that time.
Thinking of trying again... Have there been major improvements since then?
Which models are now used?
Is it now solid for multiple cross-document (some of them are realy large ones) analysis in health/scientific research?
A: Thanks for checking back in—and yes, there have been a sea of changes since last year!
We’ve significantly improved our platform for research-heavy use cases like scientific analysis. Here are some key updates:
Model selection: We now support a wide range of top-tier models including GPT-4.1, Claude 3.7 Sonnet, and Gemini 2.5. Check our model page: https://docanalyzer.ai/models
Multi-document analysis: We’ve enhanced performance for large and cross-document analysis, including new AI agent tools like Individual, Page Group, and Filter—perfect for deep dives across large datasets.
Team features & roadmap: A team plan is now available, and you can check our public roadmap to see the full history of updates. We'd love to have you give it another try—and this time, we're confident you'll notice the difference.
A: Thanks for the suggestion! We've added DeepSeek BYOK support to our to-do list, but it’s not currently part of our priority roadmap. That said, we’re keeping an eye on emerging models and user demand, so feel free to share more about your use case—it helps us prioritize better.
A: Support for Traditional Chinese depends on the AI model you select—some might handle it very well, others less so. If you're familiar with the language (i won't be able to judge myself), we’d really appreciate it if you could test our models and share your results. I’ll gladly refund the credits you use and add a dedicated entry to our FAQ based on your feedback!
Q: Credits
Hi,
Are the API credits for each account or the entire team 4,000?
Christophe_docAnalyzer.ai
May 24, 2025A: AppSumo tier 3 credits (4000) are for the entire team.
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Q: How DocAnalyzer compares with Koncile and Mindee in regards of docs recognition accuracy and data extraction ?
Christophe_docAnalyzer.ai
May 11, 2025A: Great question!
Our OCR and data extraction have delivered excellent results across a wide range of use cases. Accuracy often depends on the document type, structure, and the AI model selected—docAnalyzer.ai gives you access to several top-tier models for flexibility.
We encourage you to try a comparison using your own documents. You can upload samples on our free plan to see how our system performs against others like Koncile and Mindee.
Share docAnalyzer.ai
Verified purchaser
Thanks for your reply. Actually I've tried OCR within DocAnalyzer for big scanned documents and it works quite fine. However, it is disappointing that, after OCR is applied using credits (costly), it is not possible yet to download the OCR converted document with added text layer (the downloaded file is still the original one without text layer). Can you please add this option to your to-do list?
Thank you for the feedback and for testing our OCR feature on large scanned documents — we're glad to hear it’s working well for you!
You're absolutely right about the download limitation, and we understand how valuable it would be to retrieve the OCR-processed file with the added text layer. The good news: this is already on our roadmap and planned for a future update.
Q: Improvements for health research?
Hi there,
I tried DocAnalyzer last year, but neeed to refund due to lack of accuracy and depth by that time.
Thinking of trying again... Have there been major improvements since then?
Which models are now used?
Is it now solid for multiple cross-document (some of them are realy large ones) analysis in health/scientific research?
Thanks!
Christophe_docAnalyzer.ai
May 6, 2025A: Thanks for checking back in—and yes, there have been a sea of changes since last year!
We’ve significantly improved our platform for research-heavy use cases like scientific analysis. Here are some key updates:
Model selection: We now support a wide range of top-tier models including GPT-4.1, Claude 3.7 Sonnet, and Gemini 2.5. Check our model page: https://docanalyzer.ai/models
Multi-document analysis: We’ve enhanced performance for large and cross-document analysis, including new AI agent tools like Individual, Page Group, and Filter—perfect for deep dives across large datasets.
Team features & roadmap: A team plan is now available, and you can check our public roadmap to see the full history of updates. We'd love to have you give it another try—and this time, we're confident you'll notice the difference.
Share docAnalyzer.ai
Q: How about BYOK for Deepseek too?
Christophe_docAnalyzer.ai
May 6, 2025A: Thanks for the suggestion! We've added DeepSeek BYOK support to our to-do list, but it’s not currently part of our priority roadmap. That said, we’re keeping an eye on emerging models and user demand, so feel free to share more about your use case—it helps us prioritize better.
Share docAnalyzer.ai
Verified purchaser
In Hong Kong, we don't need VPN for Deekseek API.
I'm not sure how it is relevant since we don't use VPN to access DeepSeek API.
Q: Can you also add Tranditional Chinese too?
Christophe_docAnalyzer.ai
May 6, 2025A: Support for Traditional Chinese depends on the AI model you select—some might handle it very well, others less so. If you're familiar with the language (i won't be able to judge myself), we’d really appreciate it if you could test our models and share your results. I’ll gladly refund the credits you use and add a dedicated entry to our FAQ based on your feedback!
Share docAnalyzer.ai