A: Certainly! Shared team workspaces are designed to facilitate collaboration among team members. Only AppSumo Tier 3 plan includes them.
They allow you to share documents and collaborate seamlessly with your team members on shared documents and chats within the platform. It's just like "Personal workspace" but with access from other team members.
In essence, shared team workspaces provide a dedicated environment where multiple users from the same team can access and work on the same set of documents and associated analyses.
Q: What is the meaning and purpose of chat API credits?
What is the meaning and purpose of chat API credits? How are they used? Can you access the latest AI models with them and how does the mechanism work? Is it unlimited or are there any limitations?
A: A: API chat calls on docAnalyzer.ai consume indeed credits (but not other calls).
There are two types of credits:
1. Monthly Plan Credits: Included with your AppSumo subscription plan. These credits are renewed at the beginning of each calendar month, and any unused credits from the previous month **expire** and do not roll over.
2. Purchased Credit Bundles: These can be bought separately and **do not expire**.
Credits are also used for accessing advanced features and services on our platform. This includes OCR (Optical Character Recognition) processing, and workflow automation. Credits are also required when using our most advanced AI models, especially when choosing higher settings for answer length, context window size, or thinking effort level. These premium models offer enhanced capabilities but require more computational resources, which is why they use credits. When selecting a model or adjusting settings in the chat interface, you'll see how many credits will be used per response.
So yes, they allow you to access the latest models!
A: I’m not a user of Docxter myself, so I can’t give a detailed comparison—and to be fair, I’ll always be a bit partial to docAnalyzer. On the surface, both tools may look similar, as there are many document chat apps out there. But what truly matters is how well a tool fits your workflow and expectations. We encourage you to try both and decide for yourself. And if you do, we’d love to hear your thoughts in a review!
A: No, we do not plan to integrate OpenRouter at this time. Introducing OpenRouter would place an additional layer between our platform and the underlying model APIs, which would constrain the flexibility and control we require in how we manage each LLM. Our architecture is already & deliberately designed to interact directly with multiple providers (OpenAI, Anthropic, Google, Xai) using either native APIs or BYOK
A: Yes, docAnalyzer.ai supports OCR for each uploaded document. If your document contains scanned content, you can choose to run OCR as needed. Our OCR engine is designed to extract not just plain text, but also preserve structured elements like data tables and formulas as accurately as possible—making the content fully searchable and analyzable within your workflow.
Q: Would you explain more about "Shared team workspaces", please?
Christophe_docAnalyzer.ai
May 5, 2025A: Certainly! Shared team workspaces are designed to facilitate collaboration among team members. Only AppSumo Tier 3 plan includes them.
They allow you to share documents and collaborate seamlessly with your team members on shared documents and chats within the platform. It's just like "Personal workspace" but with access from other team members.
In essence, shared team workspaces provide a dedicated environment where multiple users from the same team can access and work on the same set of documents and associated analyses.
Share docAnalyzer.ai
Q: What is the meaning and purpose of chat API credits?
What is the meaning and purpose of chat API credits? How are they used? Can you access the latest AI models with them and how does the mechanism work? Is it unlimited or are there any limitations?
Christophe_docAnalyzer.ai
May 5, 2025A: A: API chat calls on docAnalyzer.ai consume indeed credits (but not other calls).
There are two types of credits:
1. Monthly Plan Credits: Included with your AppSumo subscription plan. These credits are renewed at the beginning of each calendar month, and any unused credits from the previous month **expire** and do not roll over.
2. Purchased Credit Bundles: These can be bought separately and **do not expire**.
Credits are also used for accessing advanced features and services on our platform. This includes OCR (Optical Character Recognition) processing, and workflow automation. Credits are also required when using our most advanced AI models, especially when choosing higher settings for answer length, context window size, or thinking effort level. These premium models offer enhanced capabilities but require more computational resources, which is why they use credits. When selecting a model or adjusting settings in the chat interface, you'll see how many credits will be used per response.
So yes, they allow you to access the latest models!
Share docAnalyzer.ai
Q: DOCxTER .VS DOANALYZER.AI
Could you please clarify how your application compares to or differs from the docXter app?
Christophe_docAnalyzer.ai
May 4, 2025A: I’m not a user of Docxter myself, so I can’t give a detailed comparison—and to be fair, I’ll always be a bit partial to docAnalyzer. On the surface, both tools may look similar, as there are many document chat apps out there. But what truly matters is how well a tool fits your workflow and expectations. We encourage you to try both and decide for yourself. And if you do, we’d love to hear your thoughts in a review!
Share docAnalyzer.ai
Q: OpenRouter
Hi, do you plan to Integrate OpenRouter ?
Christophe_docAnalyzer.ai
May 4, 2025A: No, we do not plan to integrate OpenRouter at this time.
Introducing OpenRouter would place an additional layer between our platform and the underlying model APIs, which would constrain the flexibility and control we require in how we manage each LLM. Our architecture is already & deliberately designed to interact directly with multiple providers (OpenAI, Anthropic, Google, Xai) using either native APIs or BYOK
Share docAnalyzer.ai
Q: OCR analysis
Hello,
How well does it supports OCR based contents? which including data, tables and formulas?
Christophe_docAnalyzer.ai
May 4, 2025A: Yes, docAnalyzer.ai supports OCR for each uploaded document.
If your document contains scanned content, you can choose to run OCR as needed. Our OCR engine is designed to extract not just plain text, but also preserve structured elements like data tables and formulas as accurately as possible—making the content fully searchable and analyzable within your workflow.
Share docAnalyzer.ai