Little Green Whale

What is a little green whale?

Xiao Lü Jing is an English literature reader and research AI platform operated by SeeWhale Technology (Nanjing) Co., Ltd.

It integrates translation, speed reading, Q&A, chart interpretation, note-taking, topic selection, literature review, and experiment design into the research process.

Main functions

• Upload and manage PDF and CAJ documents.
• Cloud-based synchronization of reading records across multiple devices.
• Translation of academic terms with Chinese-English comparisons.
• Full text translation and screenshot translation.
• Extract the background of the literature and the research approach.
• Extract and explain the figures in the paper.
• Ask questions while reading the current literature.
• Online notes and mind maps.
• Reference, citation, and interpretation of similar literature.
• Selection of topics and feasibility analysis for AI papers.
• Automatically retrieves and generates a literature review.
• Generate experimental design and statistical analysis recommendations.
• Assistance with scientific research plotting and presentation PPTs.
• Paper polishing, rewriting, and formatting.

Supported platforms

Xiao Lü Qing offers versions for web browsers, desktop computers, and tablets; mobile phones can access some of the documentation functions through its official WeChat account.

Document upload and management

Users can upload English papers to the cloud storage, and manage them through categorization, notes, importance levels, and search functions.

1. After logging in, you will go to the literature management page.
2. Create a new project or topic folder.
3. Upload documents for which you have legitimate access rights.
4. Waiting for cataloging and metadata identification.
5. Check the title, author, journal, and year.
6. Add tags, notes, and importance levels.
7. Categorize the documents according to their respective research topics.
8. Export or back up important data regularly.

Upload format and size

Metadata identification can still be error-prone, and the recognition of Chinese documents requires manual verification in particular.

Disciplinary translation

Subject-specific translation optimizes scientific terminology and professional expressions, offering bilingual reading in both Chinese and English.

• First, select the discipline that matches the paper.
• When encountering proper nouns, check the original sentence.
• The full English name is retained the first time the abbreviation appears.
• Do not translate the names of methods and scales arbitrarily.
• Statistical terms should be translated using the conventional terms used in that field.
• The translated text cannot replace professional proofreading.
• When citing a paper, the original wording should still be used.

Full text translation

A full translation can maintain the structure of the paper and produce a bilingual version, making it convenient to understand long English documents quickly.

Screenshot translation

Screenshot translation is suitable for processing scanned content, chart labels, and text that cannot be selected directly.

Symbols, subscripts, and formulas in screenshots are prone to errors, so it is necessary to check each element by referring to the original image.

Quick Literature Review

A quick review of the literature allows one to identify the research background, problems, methods, results, and conclusions, thereby helping users determine whether a paper is worth reading in detail.

1. Open the literature that has been parsed.
2. Access the literature summary or quick read feature.
3. First, examine the research background and core issues.
4. Verify the samples, methods, and key variables.
5. Check whether the key results are conditional.
6. Return to the original text to locate the corresponding paragraph.
7. Document the limitations and scope of application.
8. Decide whether to read it in detail, skim it, or not use it for now.

Ask while reading

As you read, you can ask questions related to the current paper; predefined related questions can also be used for quick analysis.

• When asking about a concept, it is required to indicate its location in the original text.
• Enable AI to distinguish between the author’s conclusions and background statements.
• It is required to list the experimental variables and measurement methods.
• Compare whether there are any contradictions between different chapters.
• When asking about limitations, go to the discussion section for verification.
• Do not allow AI to generate data that is not reported in the paper.
• The key content should be read from the original text itself.

Interpretation of charts

Interpreting charts involves extracting the figures and tables from a paper, and explaining them by combining the titles, captions, and the main text.

1. Select the chart that needs to be analyzed.
2. Verify that the screenshot includes a title and caption.
3. First, identify the coordinates, units, and grouping.
4. Ask about the main trends shown in the chart.
5. Distinguish between correlations and causal conclusions.
6. Check the significance markers and sample size.
7. Return to the main text to read the author’s explanation.
8. The statistical meaning of the record remains uncertain.

Online notes and mind maps

Notes can be used to create an outline or mind map based on the literature, thereby helping to organize research questions, methods, and evidence.

• A document includes one structured abstract.
• Distinguish between excerpts from the original text and personal opinions.
• The excerpt includes the page numbers and chapter titles.
• Connect documents on the same topic using tags.
• Place the disputed result in a separate branch.
• Export important notes regularly as a backup.
• Editing on multiple devices at the same time may lead to overwriting.

Topics for AI research papers

When selecting topics for AI research, it is possible to take into account the area of study, recent literature, and current trends in order to generate potential topic titles and assess the potential for innovation and feasibility.

1. Fill in the subject area, the research objects, and the scope of the issues.
2. It specifies the existing data, experimental conditions, and time.
3. Restricted area, sample, and research methods.
4. Generate multiple sets of candidate topics.
5. Check the literature sources for each question.
6. Search for studies on the same topic and recent reviews.
7. Assess the ethics, sample, and resource feasibility.
8. It is ultimately determined by a mentor or an expert in the field.

AI Literature Review

The Little Green Whale can search for and analyze relevant literature, thereby producing a summary of the current state of research or a preliminary outline for a review paper.

• Define clear research questions and boundaries.
• Record the database, keywords, and time range.
• View the titles and abstracts of the candidate papers.
• Open the original text corresponding to the DOI to verify the citation.
• Exclude studies that are irrelevant or of poor quality.
• Establish a structure based on theme, method, or timeline.
• Avoid treating AI-generated text as the final version.
• Additional search methods and inclusion/exclusion criteria.

AI Review Usage Tutorial

1. Choose the type of paper: current research status or review.
2. Enter the topic, discipline, and key questions.
3. Define the time range and the subjects of study.
4. Run the search and examine the candidate documents.
5. Remove results that are clearly unrelated.
6. View the original abstract and DOI information.
7. Generate an outline and a draft of the review.
8. Check each reference to determine whether it supports the conclusion.
9. Add missing key studies.
10. Rewrite according to academic standards and conduct manual proofreading.

Experimental design

AI-based experimental design is applied in fields such as medicine, engineering, science, and agriculture, and it can generate recommendations regarding procedures, steps, and evaluation criteria.

Statistical analysis and scientific plotting

Statistical analysis and scientific plotting can help in selecting methods, interpreting results, and designing charts, but they cannot replace professional statistical judgment.

• First, define the primary outcome and the analysis population.
• Check data types, missing values, and outliers.
• Verify whether the hypothesis of the test is satisfied.
• Avoid reporting only significance while ignoring the effect size.
• The charts must be consistent with the original data.
• Retain the analysis code and version records.
• For complex studies, please have statisticians conduct a review.

Report PPT

The presentation PPT feature allows the content of a paper to be organized in a format suitable for group discussions or literature reviews, thereby reducing the time required for manual organization.

1. Select the key literature to be reported on.
2. Set the audience, duration, and presentation objectives.
3. Generate the structure of background, methods, results, and discussion.
4. Verify the sources of the data and charts on each page.
5. Remove content that is not related to the topic.
6. Add one’s own critical evaluation.
7. Standardize terminology, fonts, and captions.
8. Adjust the amount of information on the page after the drill.

Complete tutorial for using Little Green Whale

1. Register and log in by scanning the WeChat code.
2. Create folders for research topics and literature.
3. Upload PDF or CAJ documents obtained legally.
4. Check the cataloging information identified by the system.
5. Select a subject and enable bilingual reading in Chinese and English.
6. Use speed reading to determine the relevance of documents.
7. Ask questions while reading the key paragraphs.
8. Extract the charts and verify the statistical meaning.
9. Create structured notes and mind maps.
10. Select topics or prepare reviews based on the requirements of the project.
11. Return to the original text to verify all AI conclusions.
12. Export notes and back up research materials.
13. Check the current benefits in the member center before making a purchase.

Price and membership versions

Xiao Lüei Jing offers a variety of membership plans and pay-as-you-go options; the official website does not always display a fixed amount.

Different clients, activities, and payment methods may offer varying benefits; it is necessary to check the amount, duration, limit, and refund rules before making a purchase.

Restrictions on member benefits

• The cloud storage capacity for members is valid only during their membership period.
• After the membership expires, further uploads are not possible due to capacity limits.
• The saved documents will not be deleted immediately as a result of the downgrade.
• The number of translations per month is generally not carried over.
• Rechargeable characters and Tokens are used in accordance with the protocol.
• Lifetime refers to the period during which the product remains in operation.
• Individual subscriptions cannot be transferred or shared among multiple people.
• Refunds are generally not available for virtual benefits that have already been used.

How to choose a membership

Data synchronization and backup

The Little Green Whale uses cloud storage for automatic synchronization, enabling easy reading on multiple devices; however, editing simultaneously may result in the notes being overwritten.

• A maximum of 3 devices can be logged in at the same time.
• Avoid multiple devices editing the same note at the same time.
• Important annotations are exported to the local device on a regular basis.
• Check the capacity usage before the membership expires.
• Original research data should not be stored only in a reader.
• Contact official support promptly if there are any issues with the account.

Privacy and data security

The official website indicates that it holds ISO 27001 and ISO 27701 certifications, and the subscription agreement states that data will not be sold or used by third parties for training models.

Certifications and policies cannot replace the user’s own classification of data; materials that are not public, are confidential, or contain personal information should still be uploaded with caution.

• Only papers with read and processing permissions should be uploaded.
• For unpublished manuscripts, confirm the institution’s confidentiality requirements first.
• Medical records can contain identifiable personal information.
• Do not enter account credentials in the question.
• Comply with copyright licenses when sharing documents.
• Keep offline backups of important notes.

Academic reliability

The topic suggestions, reviews, experimental designs, and statistical recommendations generated by AI may contain errors, omissions, or inaccuracies, and therefore cannot be used directly as research conclusions.

• Each citation returns the original text along with a DOI verification.
• Check whether the summary supports the generation of conclusions.
• The literature search should document the reproducible strategies.
• The experimental design was reviewed by the supervisor and the ethics committee.
• The statistical methods are reviewed by qualified personnel.
• It is forbidden to fabricate data, results, and references.
• Disclose the use of AI in accordance with the rules of the school or journal.

API and open-source status

To date, no public API console, interface documentation, official SDK, or verifiable GitHub repository for the Minke Whale has been found.

Which users are it suitable for

• Graduate students who need to read SCI papers.
• University teachers who guide research projects and theses.
• Doctors and researchers who consult medical evidence.
• The author of the paper that compiles the literature review.
• Users who are not native speakers and need reading in both Chinese and English.
• Students preparing for group meetings and literature presentations.

Product advantages

• Designed around the entire process of reading English literature.
• Integration of translation, speed reading, Q&A, and note-taking.
• Provides assistance with selecting research topics and writing reviews.
• It supports chart interpretation and experimental design.
• Cloud synchronization is available on a variety of devices.
• It is possible to view the abstract and verify citations using the DOI.
• There are a variety of types of AI functions for scientific research.

Usage restrictions

• AI responses may be incorrect or fabricated.
• The recognition of Chinese bibliographic data is not necessarily accurate.
• There are limits on language and page count for full-text translations.
• Scanned and encrypted documents cannot be fully translated.
• Member benefits and prices will be adjusted.
• Editing on multiple devices at the same time may overwrite notes.
• Public APIs and open-source code have not been confirmed yet.

Frequently Asked Questions

What can the little green whale do mainly?

It supports the translation of English literature, speed reading, interpretation of charts, asking questions while reading, note management, as well as AI-assisted topic selection, literature review, and experiment design.

Can the Little Green Whale be used for free?

The basic reading and note-taking functions available with a regular account can be used; however, full access to translation, storage, and research-related AI features requires checking the current membership options or subscription plans.

How much is the little green whale?

The official website offers various options for topping up accounts, such as membership plans, tokens, translation characters, and word counts; however, the specific amounts required must be confirmed in real time within the membership center or on the purchase page.

Which document formats are supported by Little Green Whale?

The computer version currently supports PDF and CAJ formats, while the tablet version mainly supports PDF. Regular users can upload files up to 50 MB in size, and members can upload files up to 200 MB in size.

Is the review generated by Little Green Whale reliable?

It can only be used as a draft and a tool for searching; all references, DOIs, data, and conclusions must be verified by referring to the original papers one by one.

Will the data on the little green whale be kept forever?

Documents that already exist will not be deleted immediately when the membership expires, but no further uploads are possible once the capacity of a regular account is exceeded; it is still necessary to back up important materials separately.

Does Little Green Whale provide APIs or open-source code?

To date, no public API, official SDK, or verifiable GitHub repository has been found; the Xiaolvjing platform should therefore be considered a proprietary commercial service that is not open source.