What is Sima Yue?
Sima Yue is an AI-based platform for document analysis, question answering, and enterprise knowledge management, built on the DocMind document intelligence framework.
It is suitable for handling contracts, manuals, technical documents, market reports, and papers, and can be integrated into business systems via OpenAPI.
Main functions
- Parse PDF, DOC, TXT, HTML, and PPT.
- Identify document layout and content sections.
- Extract complex tables and structured information.
- Ask questions regarding one or multiple documents.
- Summarize the key points and essential terms of the document.
- Locate the document content corresponding to the answer.
- Create enterprise knowledge assistants and knowledge bases.
- Connect to AI customer service and chatbots.
- Utilize the HTTP OpenAPI calling capability.
DocMind Document Intelligence Platform
DocMind is responsible for converting complex documents into structured content that can be utilized by large models, thereby reducing the understanding difficulties caused by formatting and tables.
| Processing stage | Main function | Manual inspection |
|---|---|---|
| File parsing | Read documents in different formats | Is the file complete? |
| Layout analysis | Distinguish between titles, text, and charts. | Hurdles and page headers/footers |
| Table recognition | Extract rows, columns, and cells | Merging cells and units |
| Text segmentation | Generate searchable segments | Is the semantics truncated? |
| Q&A generation | Answer questions by referring to the document. | Is there a source in the original text for the answer? |
Supported document formats
The official OpenAPI documentation lists popular formats such as PDF, DOC, TXT, HTML, and PPT.
| Format | Typical content | Precautions |
|---|---|---|
| Reports, papers, and contracts | Check the scan quality and multi-column layout. | |
| DOC | Systems, plans, and manuals | Check for revision traces and page headers. |
| TXT | Plain text and logs | Verify coding and paragraph structure |
| HTML | Websites and online documents | Clean up navigation and script content |
| PPT | Presentation and training materials | Check the graphics and additional notes. |
Intelligent document parsing
The parsing interface can return information such as the document title, size, file extension, document ID, number of pages, and layout sections.
- Verify that the file meets the size and format requirements.
- Generate application credentials and request signatures.
- Upload documents via a file form.
- Save the document ID returned by the interface.
- Check the page count and parsing status.
- Iterate through the layout blocks on each page.
- Sample-check the accuracy of texts and tables.
- Pass the reliable results on to the subsequent Q&A process.
Layout and table recognition
Layout analysis returns information on pages, block types, coordinates, text, and related structures, making it suitable for handling documents with complex layouts.
- Check the reading order for the two-column layout.
- Filter out duplicate headers and footers.
- Identify figure titles, table titles, and annotations.
- Verify that the rows and columns of the table are in the correct position.
- Check the percentage, amount, and unit.
- Attention should be paid to OCR errors in scanned documents.
- For key data, it is necessary to go back to the original page.
Document Q&A
Users can ask natural-language questions regarding the uploaded materials, allowing the system to extract relevant content and generate answers.
| Task | Examples of questions | Key points for verification |
|---|---|---|
| Quick Overview | What problem does this document address? | Summary and Conclusions |
| Clause extraction | What are the payment and default terms? | Original text of the terms and scope of application |
| Data query | What are the key indicators and what are their changes? | Tables, units, and years |
| Process optimization | What are the execution steps and who is responsible for them? | Order and prerequisites |
| Risk analysis | What risks might exist? | Distinguish between the original text and the model’s judgment |
| Cross-document comparison | What are the differences between the two versions? | Match each item to the original text |
Contract analysis
Sima Yue can be used to extract information such as the parties involved in a contract, the deadline, the amount involved, payment terms, delivery details, provisions related to breaches of contract, and mechanisms for resolving disputes.
- Confirm that the uploaded version is the complete contract.
- Extract the entities involved and the contracting information.
- Organize the amounts, tax rates, and payment deadlines.
- Verify the delivery, acceptance, and scope of services.
- Provisions for marking breaches, termination, and compensation.
- Compare the standard template with the current version.
- The legal department confirms the risks and proposes actions to take.
AI analysis can only assist in locating and organizing information; it cannot replace a lawyer’s judgment or the formal contract review process carried out by a company.
Reading of papers and research reports
Researchers can use document Q&A to quickly obtain information on research questions, methods, data, results, and limitations.
- First, read the summary and conclusions to get an overview.
- It is required to indicate the location of the document.
- Verify the samples, variables, and statistical units.
- Distinguish between the author’s conclusions and AI-driven inferences.
- Check the original text for context before quoting.
- Do not let AI generate non-existent literature.
Product manuals and technical documents
Companies can transform product manuals and technical documentation into knowledge assistants intended for pre-sales, customer service, implementation, and maintenance staff.
| Position | Typical problems | Data scope |
|---|---|---|
| Pre-sales | Product capabilities and applicable use cases | Product manuals and solutions |
| Customer service | Configuration methods and common faults | Help Center and FAQ |
| Implementation | Deployment requirements and steps | Installation and operation documentation |
| Repair | Fault codes and troubleshooting methods | Maintenance manuals and case studies |
| Training | Systems and business processes | Courses and internal guidelines |
Corporate knowledge base
OpenAPI can be used to integrate document-reading capabilities into corporate knowledge assistants, customer service systems, and chatbots.
- Inventory the materials and delete obsolete versions.
- Set access permissions by department and business.
- Add the source and date of effective application to the document.
- Parse the document and conduct sample checks on quality.
- Create a set of questions that covers real-world business scenarios.
- Test the retrieval accuracy and rejection performance.
- Connect to customer service or internal application entry points.
- Monitor feedback and update the knowledge content.
Sima Yue Usage Guide
- Enter Sima Yue and select the document task.
- Upload files in supported formats.
- Waiting for the layout and text analysis to be completed.
- Check the title, number of pages, and table of contents structure.
- Use the system’s suggested quick overview for issues.
- Ask questions that include objects and ranges.
- Ask for details, data, or specific page numbers.
- Verify the key answers against the original text.
- Save the structured results that need to be used.
- Delete sensitive documents promptly once they are completed.
OpenAPI Integration Tutorial
- Contact the authorities to apply for an API account.
- Obtain the application ID and authentication credentials.
- Implement the signing process on the server side.
- First, call the document upload and parsing interface.
- Save the returned document ID and status.
- Verify the layout blocks and text output.
- Integrate with document Q&A or business processes.
- Handle 429 throttling and other error codes.
- Add timeout, retry, and audit logging.
- Set permissions and budgets in the production environment.
API file limitations
The official documentation specifies that the maximum size of a single file is 40MB and sets a limit on the number of pages; however, there is an obvious error in the unit used to indicate this value.
| Project | Document information | Suggestions |
|---|---|---|
| Single file size | Up to 40MB | Check and compress before uploading |
| Number of pages in the document | Abnormality in document field descriptions | Confirm with the authorities before connecting. |
| Number of uploads | Single file per instance | Create a queue for batch tasks |
| Document ID | Generated automatically by the system | Save securely and establish mappings. |
| Throttling status | A 429 response may be returned. | Use backoff and queuing. |
API authentication and error handling
The official examples use an application ID, token, and signature for request authentication; these credentials must be stored only on the server side.
- Different credentials are used for testing and production.
- Do not write tokens into the frontend code.
- Validate the type and size of the uploaded files.
- Record an internal request ID for each request.
- When a 429 error is encountered, reduce concurrency and implement backoff.
- Check whether the task has been created before attempting to retry on failure.
- Regularly rotate and revoke old credentials.
Price and service methods
The official website does not currently disclose a fixed price for individual memberships or API access; to obtain an enterprise interface account, it is necessary to contact the authorities directly.
| Services | Public price | Method of acquisition |
|---|---|---|
| Personal document experience | There is no unified package available at the moment. | It is subject to the real-time display on the product page. |
| OpenAPI | Contact the authorities to inquire about prices. | Apply for an API account |
| Corporate knowledge base | Quotation based on requirements | Number of documents submitted and concurrent requirements |
| Position AI agent | Quotation according to the plan | Evaluate business processes and permissions |
| Custom integration | Business confirmation | Sign a business services agreement |
The old information regarding the number of free uses and historical membership prices that are available online may have changed, so they should not be considered as the current official prices.
Key points for selecting a company
| Dimension | Confirmation is needed. | Acceptance method |
|---|---|---|
| Format | Actual document type and layout | Test using real samples |
| Accuracy | Performance in tables, OCR, and Q&A | Create artificial standard answers |
| Capacity | File size, number of pages, and quantity | Stress testing and peak verification |
| Performance | Concurrency and response time | Simulate actual call volumes |
| Safety | Storage, permissions, and deletion mechanisms | Review of contracts and technical proposals |
| Cost | Analysis, Q&A, and service fees | Calculated based on monthly business volume |
Data security and privacy
Contracts, systems, product manuals, and research materials may contain trade secrets or personal information, and authorization is required before uploading them.
- Irrelevant personal information should be anonymized first.
- Different enterprises and departments are strictly separated from one another.
- Restrict document download and Q&A permissions.
- The log should not record the full sensitive content.
- Specify the file storage location and retention period.
- Establish procedures for user deletion and account cancellation.
- Confidential materials should not be stored in public cloud services.
Response reliability
Document QA can improve retrieval efficiency, but parsing errors, missed recalls, and model inference can still lead to inaccurate answers.
- Show the original location of the answer.
- The key data also returns the table page number.
- The system should be asked to refuse responses when there is insufficient data.
- Manual review is implemented for high-risk issues.
- Regularly check the accuracy rate of frequently asked questions.
- Run the regression tests again after updating the document.
API and open-source status
Sima Yue provides public OpenAPI documentation, but the availability of these APIs does not mean that the DocMind models or the source code of the platform are open source.
| Project | Open status | Explanation |
|---|---|---|
| Document parsing API | Support | Upload and return the layout structure |
| Enterprise Q&A API | Support | An account and credentials need to be applied for. |
| HTTP API documentation | Public | Provide parameter and return example. |
| Official SDK | Not confirmed yet | No verifiable installation package was found. |
| Platform source code | Not open source | No open-source license for the product was found. |
| Official GitHub | Not confirmed yet | No verifiable repository found. |
Which users are it suitable for
- Researchers who read industry reports.
- The corporate team responsible for reviewing contracts and policies.
- Maintain the pre-sales and customer service sections of the product manual.
- The IT department responsible for creating an internal knowledge base.
- Teachers and students who work with papers and technical materials.
- Developers who integrate AI through API documentation.
Product advantages
- Focused on document parsing and serious business inquiries.
- It supports a variety of common document formats.
- It provides recognition of layout and table structures.
- It can be used for corporate knowledge assistants and customer service.
- Public OpenAPI documentation is provided.
- It supports integration from parsing to question answering.
Usage restrictions
- The official website does not currently display a unified standard price.
- Scans and complex tables may result in identification errors.
- Document-based Q&A may still overlook or misinterpret the original text.
- Strict authorization is required for sensitive corporate documents.
- There is a text error in the explanation regarding the page limit for APIs.
- To obtain an interface account, you need to contact the authorities to apply.
- The official SDK and open-source code have not been confirmed.
Frequently Asked Questions
What can Sima Yue do mainly?
It can parse complex documents, extract layout and table information, answer questions related to the documents, and create enterprise knowledge assistants and customer service systems.
Which file formats is Sima Yue compatible with?
The official OpenAPI documentation lists PDF, DOC, TXT, HTML, and PPT; compatibility with specific versions and complex layouts must be tested in practice.
Can Sima Yue analyze contracts?
It can assist in identifying the subject, amount, deadline, payment terms, and default provisions, but the risk assessment must be confirmed by the company’s legal department or lawyers.
Is there a free version of Sima Yue?
The official website does not specify a fixed free usage limit for individuals or any membership plans; the actual available amount is determined by the details shown on the product page after logging in.
How much is Sima Yue?
Neither individuals nor OpenAPI currently provide a unified, publicly available price; for corporate knowledge bases, APIs, and customized services, it is necessary to contact the official parties to obtain a quote.
Does Sima Yue provide APIs?
It offers official OpenAPI support for document parsing as well as integration with enterprise Q&A systems; account creation and authentication credentials must be requested from the authorities.
Is Sima Yue an open-source tool?
No, although HTTP interface documentation is available, no official open-source repositories or licenses for the DocMind or Sima Yue platforms have been found yet.
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