--- title: "SumizAI vs Ensu" url: "https://sumizai.com/alternative-to/sumizai-alternative-to-ensu.html" date: "2026-08-14T00:00:00+02:00" modified: "2026-08-14T00:00:00+02:00" description: "Looking for a Ensu alternative? SumizAI and Ensu side by side: price, licence, platforms and what each one actually does." tags: ["ai notes", "sumizai", "ensu", "alternative to Ensu"] --- # SumizAI vs Ensu Looking for a Ensu alternative? SumizAI and Ensu side by side: price, licence, platforms and what each one actually does. ## What Ensu is Ensu is a free, open-source AI chat app from Ente (known for encrypted photo storage), running entirely on-device — no accounts, no tracking, no usage limits. The language model runs directly on the phone or computer, and conversations never leave the device, setting Ensu apart from most popular chatbots that send queries to cloud servers. Technical architecture: The app's core is written in Rust, giving predictable performance and memory use when running models locally on hardware far less powerful than cloud servers. Native mobile apps (Swift on iOS, Kotlin on Android) and a Tauri-based desktop app for macOS, Linux, and Windows are built on top of that shared core. An experimental web version also exists. Key features: The app works even without internet access — the AI model is downloaded and run locally, so Ensu works just as well on a plane as in an area with no signal. Image attachment support lets you ask questions about photos without sending them anywhere off the device. No account means installation and first use take literally a moment, with no signup form or email confirmation. Who it's for: Ensu appeals to people for whom the privacy of AI conversations outweighs the convenience of cloud alternatives — journalists working with sensitive sources, lawyers, people having private, confidential reflections. Anyone wanting an AI assistant available offline regardless of connection quality will also appreciate it. Use cases: In practice Ensu works well while traveling without network access, for private reflection, or on a long flight, where a cloud chatbot simply won't work. Someone analyzing a confidential document can paste a fragment into the conversation without risking that the content lands on a third-party server — everything happens locally on the device. Pricing and business model: Ensu is entirely free and open source — there are no paid plans or usage limits, which is possible precisely because computation runs on the user's own hardware rather than the provider's costly cloud infrastructure. That's a business model that sets Ensu apart from most competing chatbots, which have to cover server costs through subscriptions or ads. Limitations and what to watch for: A model running locally on a phone or laptop is inherently less capable than the largest cloud models trained on huge server clusters — answers can be simpler on very complex tasks. Encrypted backups and cross-device sync are announced but, at the time of writing, not yet fully available, so a conversation stays tied to one device. AI notes without leak risk: Ensu offers no built-in export of conversations as organized notes, but thanks to local processing, any answer worth keeping as a ai notes entry can be copied without worrying that the content passed through an external server along the way. For people building an archive of ai notes on sensitive topics, that's a meaningful difference from cloud chatbots. What's worth checking before choosing: Before installing, check the local model's hardware requirements against your device — an older phone or a weaker laptop can generate answers noticeably slower than a model running on a cloud provider's servers. Community and project development: Ente, the team behind Ensu, is previously known for its encrypted photo-storage app — moving into local AI chatbots is a natural extension of the same "your data stays with you" philosophy, applied this time to conversations with a language model instead of photos. The open-source code lets the community independently verify that the app really doesn't send anything off the device, something that's hard to confirm in closed, commercial chatbots. People building their own ai notes archive from such local conversations can additionally review the source code before trusting the app with truly sensitive topics. Bottom line: Ensu is a free, local AI chatbot with no accounts and no data sent to the cloud, ideal for people who put privacy first. Anyone who wants ai notes from such conversations to land automatically in a searchable archive should consider an additional tool built around that workflow, since Ensu doesn't offer one on its own. Comparison with SumizAI: Ensu and SumizAI differ in processing model and scope. Ensu runs a smaller model directly on the user's device, with no lasting conversation archive and no choice of AI provider. SumizAI turns conversations with an AI model into these notes — answers worth keeping land automatically as Markdown files in a vault the user owns, and the model itself is chosen from seven providers, including a local Ollama for a similar offline approach, on the user's own API key. Anyone who wants maximum privacy from a simple offline chat will pick Ensu; anyone who wants these notes from AI conversations to build a lasting, searchable archive regardless of the chosen model provider will find SumizAI the better-fitting tool. **Key facts** - Price: Free - License: Open Source - Origin: United States - Category: AI Chatbot, Large Language Model (LLM) ## What SumizAI is A note-taking application built around a conversation with an AI model. You ask a question, the answer streams back, and the answers worth keeping become Markdown notes — filed into a vault that is a folder on your own disk. A vault is a directory holding `base.md`, a generated table of contents up to six levels deep, and a `notes/` folder with one `.md` file per note. Before a note is written it is checked against the ones already there, so the fourth note about the same idea gets merged instead of added. Links between notes are ordinary Markdown links to files that exist. The model is never ours: you bring your own API key to one of seven providers — Anthropic, OpenAI, Gemini, Groq, OpenRouter, a local Ollama or your own server — and pay that provider directly. A question sends the table of contents plus at most five relevant notes within a 24,000-character budget, and the app shows you which five it used. ## Where they differ - Ensu is a place to have the conversation. SumizAI is not a chatbot — the conversation is the input, not the product. What comes out of it is a `.md` file with a title, a place in `base.md` and a duplicate check against the notes already in the vault. If you only want to talk to a model, you do not need SumizAI. - Ensu is open source (AGPL-3.0), and SumizAI is not. If reading the source is what decides it for you, that is a real argument for Ensu. The guarantee SumizAI offers instead is structural rather than legal: the notes are Markdown files in a folder you chose, so they open in any editor whether or not the application is running. - AlternativeTo's description of Ensu does not mention Markdown, so check what format your notes end up in before you fill it up. SumizAI writes standard `.md` files to a folder you picked, and an unpaid account can still export all of them. - Ensu advertises encryption. SumizAI answers the same worry a different way: on the desktop the notes never leave your disk, and the material a question sends to the model is capped at the table of contents plus at most five notes — and the app shows you which five it used. Full side-by-side comparison table and pricing: [https://sumizai.com/alternative-to/sumizai-alternative-to-ensu.html](https://sumizai.com/alternative-to/sumizai-alternative-to-ensu.html)