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ima

ima files documents, web pages, WeChat articles, images and recordings into personal or shared knowledge bases, then answers, summarises and drafts against that library with source tracing — on Windows, macOS, mobile, web, a WeChat mini program and a browser extension.

ProductivityAI AssistantAI Writing#DeepSeek#Knowledge Base#Team Collaboration
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Freemium
Published
Sep 16, 2026
Domain
ima.qq.com

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Saves
Visits
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Pricing
Freemium
Published
Sep 16, 2026
Domain
ima.qq.com

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What is ima?

Tencent ima is an ai knowledge base assistant: you file documents, web pages, WeChat public-account articles, images and recordings into a library, then search, read and write against that library instead of against the open web. The vendor frames it as a knowledge-base-first "search–read–write" experience, and the client opens on four entries — New chat, Knowledge bases, Discovery square and Q&A history — with a storage readout under the avatar on desktop.

Three Tencent company names attach to one product. The privacy guideline names 深圳市腾讯计算机系统有限公司 as service provider, gives its registered address as Tencent Building 35/F, Nanshan District, Shenzhen, and says affiliates jointly operate the service; it is also the licence-agreement counterparty. The China App Store names 腾讯科技(深圳)有限公司 as provider — same group, different legal person. Tencent Appstore names 深圳市腾讯计算机科技有限公司 as Android developer and 深圳市腾讯计算机系统有限公司 as operator.

The engine is not one house model. The download page states the product has connected Tencent Hunyuan, DeepSeek and other models, and the privacy guideline publishes three Chinese algorithm filings: Hunyuan's multimodal algorithm, DeepSeek's large-language-model algorithm from 北京深度求索人工智能基础技术研究有限公司, and Zhipu's content-generation algorithm from 北京智谱华章科技股份有限公司.

ima is also not only a private notebook. The official site states the knowledge base square spans more than twenty industries — technology, finance, education, healthcare, law and public administration among them — and has accumulated over 400 million knowledge base files, both vendor-published counts.

Core features

What actually gets into the library

Ingestion is the real boundary — anything outside it never becomes answerable material. The site names six intake routes.

  • Files — PDF, Word, PPT and Excel among the nineteen formats the site names, parsed and stored structured
  • Web links, added in the app or captured through the browser extension
  • WeChat public-account articles and WeChat files, routed through the mini program
  • Images and screenshots, with in-picture text recognised and the image interpreted
  • Live recordings or imported audio, transcribed into a skim view and a summary
  • Tencent Docs, linked so work material pulls across in one action

The WeChat routes are what rivals outside that ecosystem cannot copy.

Answers bound to your own sources

Retrieval is scoped, not global. The site describes recalling knowledge base sources precisely against your question, combining them with the model's deep-thinking capability, and returning an answer that supports tracing back to the original text. Scope narrows to a base, a tag or a folder, and above it sits copilot, a knowledge partner with long-term memory that learns your preferences.

Recordings, transcripts and generated study formats

Recording accepts up to two hours per session, supports multiple languages, and produces transcript and summary automatically — the ai meeting notes path, with the two-hour ceiling a hard number. Speakers are separated through voiceprint processing that labels them anonymously as Speaker 1, Speaker 2 and so on, explicitly without identifying or linking anyone, and those voiceprint features are then deleted.

Uploaded documents convert into a mind map, a spoken podcast with human-like voices, or a short quiz, and document Q&A matches relevant charts into the answer.

Shared bases and the four permission roles

A personal knowledge base is private to you. A shared knowledge base introduces four roles: the creator holds every permission including deleting the base and deciding whether it goes public; the administrator sets content permissions, edits content and invites members; the collaborator uploads files and asks questions; the ordinary member views and comments.

Knowledge accounts, the square and Skills

A knowledge account publishes a base to the square for others to find and subscribe to, with data analysis, official verification and creation guides supplied to creators. Skills can be published alongside bases.

Guide

The working order that avoids rework follows from two rules most people learn the hard way.

  1. Pick the surface by the job. Bulk import and permission work belong on the Windows or macOS client; web capture to the browser extension; WeChat articles and files reach the library only through the mini program.
  2. Import before asking. An answer is only as scoped as the library behind it, so add the report, the recording and the saved page first, then tag them.
  3. Ask narrow, then check the trace. Because answers support tracing back to the original text, treat the citation as the deliverable and the prose as a draft.
  4. Move anything worth keeping out of Q&A history. The privacy guideline states conversation records cannot be stored long-term and are kept for at most ninety days, with local backup or adding them to a knowledge base as the remedy.
  5. Set roles before you invite. Role changes carry a content consequence that cannot be undone inside the product.

Use cases and worked examples

The jobs that fit share a shape — you already own the material, it is scattered across formats, and the answer must be defensible against its source. The official site works this through six professional profiles. Students import courseware and class notes and get key points turned into a podcast or a mind map; teachers pull teaching material out of the base while preparing lessons and have lesson plans generated against it. Analysts load survey material, meeting recordings, expert interviews and market policy, then have an industry research report drafted from that pile. Lawyers import case details and statutes to get points of dispute summarised and litigation documents drafted, public-sector staff import policy documents for interpretation and official drafting, and creators work from trending topics.

Shared bases carry four further patterns: public-service enquiry desks answering citizens around the clock; enterprise knowledge sharing that turns scattered experience and data into reusable assets; class teaching where a teacher uploads board work and exam points for students to query; and small-group research.

One boundary crosses all of them, set by the agreement rather than by taste: generated content is offered for personal study and reference, and where a matter may have a material effect — legal, medical and financial scenarios are named — the service explicitly does not replace a professional's answer. The square carries legal, financial and medical bases from named institutions, so that is not abstract.

Who is it for

  • Students and teachers inside the Chinese study ecosystem. Courseware, notes and recordings all have intake routes, and generated mind maps, podcasts and quizzes target revision.
  • Analysts, lawyers and public-sector staff working from private corpora. The value is that answers can be traced back to the original text — the version of this workflow that survives review.
  • Small teams with tacit knowledge and no wiki. The four-role split separates curators from consumers.
  • Creators building an audience. The knowledge account route, including square publishing and the paid-subscription beta, is distribution rather than storage.
  • Not for teams needing material kept out of a vendor's wider network, or wanting commercial reuse rights. The agreement lets published bases surface across Tencent properties and forbids selling or commercially using service material outside a written licence.

Platforms

Eight product surfaces plus one embedded entry are listed on the official download page.

SurfaceRequirement or entryWhat it is for
Windows clientWindows 10 and aboveBulk import, administration, long reading
macOS clientmacOS 12 and aboveSame as Windows
iOS clientiOS 16.0 or later, 184.5 MB, Productivity categoryCapture and query on the move
Android clientVersion 2.6.10, updated 14 September 2026Same as iOS
HarmonyOS clientScan to download on deviceDomestic device coverage
Web versionClick through to use in a browserNo-install access
WeChat mini programScan inside WeChatThe only route for WeChat articles and files
Browser extensionChrome and similar browsersCapturing web pages into a base
WorkBuddyUse ima inside WorkBuddyEmbedded workplace entry

Sign-in is built on WeChat: the privacy guideline states the product supports registering and logging in with a WeChat account, collecting its unique identifier, avatar and nickname to identify you and synchronise data across devices and clients. Apple sign-in on Apple devices and Google sign-in on Android are also offered, but both then require binding a phone number. Old versions may stop working once a new one ships.

Pricing

There is no published price card, which is itself a finding. The public documents still fix the shape of the money.

  • Downloads are free; the China App Store lists ima as free with in-app purchases, and confirms in-app purchases exist without naming any item or price.
  • Compute credits are a purchasable good: the privacy guideline's value-added consumption section names buying compute credits and paid knowledge bases among the transactions it collects order data for.
  • Paid subscription to a published base is in closed beta. The official announcement of 21 April 2026 opened applications for knowledge accounts to mark a published base as paid subscription, requires client version 2.4.7 or above, and states ima takes only 1% of the subscription amount as a platform technical service fee.
  • Storage is allocated at the vendor's discretion: the agreement reserves to Tencent the right to decide each user's maximum retention period and storage space, and seasonal campaigns grant extra knowledge base space and compute credits rather than selling a plan.

This reads as a free core with metered advanced usage on top. The 1% figure is explicitly a beta-period rate, not a standing commission.

Alternatives and how the market files it

Independent placements agree on the category and disagree on the neighbours. An independent tool directory files ima under AI office tools and AI productivity, calls it an AI knowledge base tool from Tencent centred on knowledge acquisition, building a personal knowledge base and intelligent writing assistance, and lists six comparable tools beside it: 飞书多维表格, 奇觅, Hoarder, 猫头鹰AI网页订阅, 秒言AI语音输入法 and Ponder AI.

The China App Store's behaviour-driven "you might also like" rail draws a different map, placing ima next to 得到大脑 (formerly Get笔记), 秘塔AI搜索, 扣子, flomo, FlowUs, 千问, Cubox, 讯飞星火 and MarginNote 4 — note tools, AI search and agent platforms rather than office suites.

A third-party industry-media review from March 2026 compares ima directly against Get笔记, Notion, Obsidian and Feishu Docs after three days of use. Read together, the placements say one thing: the deciding variable is not feature count but where your material already lives. If your reading runs through WeChat, the ingestion routes are the argument; if not, ima competes on open ground.

Limitations

  • Q&A history is kept for at most ninety days. The privacy guideline states the product cannot store conversation records long-term and asks you to back up locally or add them to a knowledge base.
  • Leaving a role takes your own contributions with it. Once an administrator or collaborator stops holding that role, for any reason, they can no longer dispose of any content in that base, including what they contributed.
  • Professional domains are out of scope. Generated content is stated to be for personal study and reference only and, where a matter may have a major effect, not a replacement for a professional's answer.
  • Commercial reuse needs written permission. The data usage rules forbid using the content outside Tencent's written authorisation, including sale and commercial use, and a further clause forbids using generated content to train models competing with Tencent Hunyuan.
  • Publishing is broader than the square. Content, name and avatar published through a knowledge account appear in the square, in AI answer recommendations and across Tencent properties including QQ Browser and Yuanbao; the stated remedy is changing the published status or deleting the base, which stops future display only.
  • Storage and termination are the vendor's call. Tencent reserves the right to set each user's maximum retention period and storage space, and states that if the service ends your data may be permanently deleted with no obligation to return it. No public quota figure was confirmed this round.

The privacy commitments reward precise reading. The vendor states it will not use data stored in your ima knowledge base for model training without authorisation — the qualifier matters — and explains the base is accessed only when you initiate a service against it. Storage and retrieval run on Tencent Cloud Computing (Beijing) as an entrusted processor, and information collected within China stays within China with no cross-border transfer at present. Account deletion runs through Me, Settings and Account security, after which nothing linked to the account can be recovered.

Independent signals are thinner than the official record. A March 2026 industry-media review based on three days of use reported that AI search accuracy was not high enough on complex questions, that mobile lagged the desktop client with some advanced functions desktop-only, and that notes remained relatively simple. A tech-media hands-on at launch in November 2024 found the interface streamlined and the knowledge base the standout idea, while noting the product then had no mobile app — a gap the platform table above shows has since closed. Store ratings differ by platform: the China App Store shows 4.8 from about 26,000 ratings, while Tencent's Android market shows 4.3 alongside 183,000 downloads and no rating sample size.

FAQ

Q1. Is ima free to use?

The clients are free to download and the core loop works without paying. The App Store lists the app as free with in-app purchases, the privacy guideline names purchases of compute credits and paid knowledge bases, and paid subscription remains invite-only.

Q2. Does ima train models on my knowledge base?

The published statement is that the vendor will not use data stored in your ima knowledge base for model training without authorisation, and that the base is accessed only when you initiate a service against it. That qualifier is a commitment against unauthorised use, not a claim the data is never read.

Q3. How long does ima keep my chat history?

At most ninety days. Knowledge base content is separate and persists until you delete it, at which point the cloud copy goes too. Move anything you want to keep into a base.

Q4. Which AI models does ima run on?

The site states the product has connected Tencent Hunyuan, DeepSeek and other models, and the privacy guideline publishes three algorithm filings covering Hunyuan, DeepSeek and Zhipu's ChatGLM series.

Q5. Can I use what ima produces commercially?

Rights to content you upload stay with you, and the agreement states rights to AI-generated content belong to you or the rightful owner unless an interface says otherwise or you agreed something else, while Tencent may store and use that content within the law to run the service. The rules separately forbid selling or commercially using service material outside written authorisation.

Q6. What happens to shared base content if someone leaves the team?

Once a person stops being an administrator or collaborator of a shared knowledge base, for any reason, they can no longer dispose of any content in it, including what they contributed themselves.

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