Guozhen AIGlobal AI field notes and model intelligence

English translation

DeepSeekMine Is Now DeepLocals: V3.1.2 Improves Local File Learning Speed

2026-05-19Field note #102Screenshots preserved from the original article

Hi, I am Guozhen.

Today we released V3.1.2, continuing to improve file-learning speed. It can accurately learn 34 file formats on your computer, including PDF, Word, and Excel:

DeepLocals local file learning update

It supports learning thousands or tens of thousands of local computer files. Below, it has already learned 14,000 files from my computer:

DeepLocals local file learning update

When answering questions, it can automatically search your computer files for answers. Even if your input is not very precise, semantic retrieval can find relevant content. The retrieved knowledge can then be sent to DeepSeek-V4 and summarized with text and images:

DeepLocals local file learning update

It can also summarize retrieved information into reports and export them as Word documents, PDFs, posters, mind maps, and other files on your desktop:

DeepLocals local file learning update

If you want an AI to learn hundreds or thousands of files on your computer, retrieve relevant knowledge for your questions, and export Word documents or mind maps, this update is worth looking at.

1. What DeepLocals can do

Today we officially renamed the software from DeepSeekMine to DeepLocals. This article summarizes the core features, recent upgrades, and how to get it.

DeepLocals has already helped users intelligently learn nearly 14 million pages of files. Users include doctors, lawyers, accountants, finance professionals, researchers, and people in many other industries.

DeepLocals local file learning update

Before introducing the local update, let me briefly explain DeepLocals for readers seeing it for the first time.

In one sentence: DeepLocals can automatically learn your computer files. The GIF below shows DeepLocals learning files I uploaded:

DeepLocals local file learning update

After learning is complete, it can understand both text and images, supporting multimodal learning:

DeepLocals local file learning update

It can answer with text and images based on what it learned from your files. It supports both cloud and local modes:

DeepLocals local file learning update

It can fully search and analyze foreign-language literature:

DeepLocals local file learning update

Answers include complete citation sources. Clicking the citation block can jump directly to the source paragraph on the left. It also supports formulas inside documents:

DeepLocals local file learning update

Every generated answer can be exported as a Word document. Text, images, and reference sources are exported together:

DeepLocals local file learning update

It supports deep research mode:

DeepLocals local file learning update

To make answers more professional, it includes four preset professional modes: general, legal, medical, and research. Users can switch based on the current task:

DeepLocals local file learning update

It supports joint answering across multiple knowledge bases:

DeepLocals local file learning update

It also supports knowledge-base migration export, NAS file moving and copying, and related workflows:

DeepLocals local file learning update

2. Recent core upgrades

  1. LM Studio local model access was added. In addition to Ollama, this version supports LM Studio. Below, a customized DeepSeek-V4 model is connected:

DeepLocals local file learning update

The thinking process is visualized when answering questions:

DeepLocals local file learning update

  1. A quiz-generation agent was added:

DeepLocals local file learning update

It can generate practice questions from knowledge-base materials with one click:

DeepLocals local file learning update

It includes complete explanations and references to the relevant document paragraph:

DeepLocals local file learning update

  1. A flashcard learning agent was added:

DeepLocals local file learning update

It can generate review cards from selected materials with one click:

DeepLocals local file learning update

  1. EML email file upload is now supported. It currently supports learning from up to 34 document formats:

DeepLocals local file learning update

  1. Learning for complex documents, images, and tables was further improved. Even papers with complex formulas can be handled more easily:

DeepLocals local file learning update

Tables are also supported:

DeepLocals local file learning update

  1. Publication-grade translation is supported. Layout-preserving translation has been further optimized:

DeepLocals local file learning update

The left side is the source file, and the right side is the translated layout:

DeepLocals local file learning update

This solves a common problem users reported when translating foreign-language literature: messy formatting and broken layout.

  1. Beyond these updates, the interface reading experience was optimized. The home page, AI replies, Markdown reading area, right-side panel, generation history, and data-analysis area now use more consistent visual styles so content is easier to read:

DeepLocals local file learning update

New-user guidance was also added, and several upload, startup, export, and display issues were fixed, including upload lag, startup errors, Word export, citation layout, large table rendering, and abnormal scrollbars.

Overall stability has improved noticeably.

3. How to get the latest DeepLocals

The usage flow is simple and beginner-friendly.

Step one: visit the download page:

https://deeplocals.com/download

DeepLocals local file learning update

Step two: install it by double-clicking the installer. The installation process is stable.

Step three: open the software, drag in files, and ask questions. No configuration is required:

DeepLocals local file learning update

Final thoughts

This DeepLocals upgrade brings higher file-learning speed, LM Studio local model access, a quiz-generation agent, a flashcard agent, and more.

The interface reading experience and new-user guide have also improved, making the overall experience more stable.

This English edition preserves the screenshots and workflow order from the original Chinese article.

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