What's New in Privacy AI

Stay up to date with the latest features and improvements

What’s New

Version 1.1.30

Features

1. Multiple Attachments in Chats

   All models now support multiple attachments in conversations. You can upload one or more files of different types, such as documents, spreadsheets, or images, into a single chat. Privacy AI will process all of them together, giving you richer context and more accurate results.

2. Process Multiple URLs at Once

   Instead of pasting links one by one, you can now include multiple URLs in a single message. Privacy AI automatically fetches and processes all of them, merges the content, and sends it to the AI model for unified analysis.

3. Latest Office 365 Excel Support

   Reader and chat now support the newest Office 365 XLSX file formats. Even the most recent Excel spreadsheets can be converted directly into clean Markdown for further reading, summarization, or analysis.

4. Smarter Reader Settings

   Two new configuration options: “JS Check Interval” and “JS Idle Threshold”, let you control how Privacy AI handles JavaScript execution when loading web pages. This fine-tuning improves accuracy and efficiency when converting remote web content into Markdown.

5. Interactive AI Images

   AI-generated images are no longer static. You can now rotate, flip, zoom in, or zoom out within the app, making it easier to explore details and adjust perspective.

6. New Image Editor

   A built-in Image Editor lets you draw entirely new images or make edits to existing ones. Use Apple Pencil or your fingers to sketch, highlight, or modify an image, then send it directly into a chat for AI processing.

7. Edit Sent Messages

   Messages you’ve already sent can now be edited. When you make changes, all attachments linked to the original message are automatically preserved and copied to the updated message, saving time and preventing accidental data loss.

8. Context Usage Indicator

   A new indicator shows live token usage in each chat. If the connected server supports usage reporting, Privacy AI will display accurate values; otherwise, it estimates them for you. This helps you track conversation length and know when it’s time to compress history or start a new chat.

Improvements

1. Friendly Error Messages

   Technical errors are now automatically reformatted into plain, human-readable messages, so you can quickly understand what went wrong without needing to parse raw logs.

2. Upgraded Inspector

   The Inspector tool is more powerful than ever. You can now export complete logs, copy them in full, or select and copy partial segments. This makes debugging model calls and protocol flows faster and more convenient.

3. Smarter Remote Error Handling

   When remote AI servers return errors, Privacy AI will now reformat them into simple, explanatory messages rather than showing dense technical stack traces.

4. Better Message Editing

   Edited messages now automatically retain their original attachments. This ensures that no files are lost when you make corrections or updates.

5. Optimized Token Allocation

   The history management algorithm has been redesigned. It maximizes the amount of past conversation that can be preserved while maintaining safe margins for the current query and response, improving both reliability and model performance.

6. Improved File Upload Dialog

   The file chooser now includes clear descriptions of each processing mode. These explain the technical details (such as BASE64 encoding or local vs. remote handling), the token cost implications, and the best situations for each option—helping you make smarter decisions.

7. Provider Memory

   When you create a new remote AI model, Privacy AI now remembers the last provider you used. This removes the need to reselect your preferred provider each time, saving clicks and setup time.

8. Transparent Subscription UI

   The subscription interface now shows detailed explanations of how free trials work, including timing and conditions, so you can make informed decisions before committing.

9. Faster Siri & Shortcuts

   The AI workflow for Siri and Shortcuts has been streamlined. This stateless mode now runs more efficiently, improving performance and responsiveness in automations.

Bug Fixes

• Resolved an issue where Siri and Shortcuts could not connect to AI models if the application was not already running in the background.

Version 1.1.29

Features

1. OpenRouter Image Generation: Generate images directly through OpenRouter. Try the free Gemini 2.5 Flash Image Preview model today.
2. Smarter File Import for Media: When importing videos or images, a new dialog lets you configure dimensions. The app automatically scales the shorter side or uses iOS APIs to extract text, saving tokens and costs. You can also choose to send files unchanged to remote AI.
3. Flexible File Handling: For non-media files, you can upload them as-is or convert them to Markdown locally. Markdown conversion reduces cost but may trade off some accuracy.
4. iCloud Model Sync: Download a GGUF model once and use it across all your devices with the same iCloud account. Models load automatically in the background—no need for multiple downloads.
5. Reader Enhancements: Added support for capturing photos directly in the reader and selecting processing methods before importing documents, images, or videos. The reader UI has also been refreshed.
6. Expanded Self-Hosted Server Support: Now works with llama.cpp, vLLM, LocalAI, and Jan AI.
7. HTML in Code Blocks: Code blocks containing HTML can now be rendered and captured as screenshots for easy sharing.
8. Rich Chat History: Chat messages now preserve attachments and generated media, creating a more complete conversation record.
9. Feature Overview: Added a section that lists all features and highlights of the app for easier discovery.
10. Improved Model Pricing Display – Added new fields and improved the UI of model price information shown in the Remote Service and API Keys views.

Upgrade

• Updated llama.cpp to b6301 for improved performance and compatibility.
• Remote Services now remember the collapsed/expanded status for each category.

Bug Fixes

• Fixed an issue where newly installed apps sometimes failed to display local AI models in the selection list.
• Fixed an issue where the application failed to refresh the local cache after remote configuration changes.

Version 1.1.26

• Feature: Local vision models on device. You can now run vision-capable GGUF models locally via our llama.cpp mtmb integration (for example, Qwen2.5-VL 3B Instruct). Add images to a chat without sending data to the cloud.
• Feature: Add our first vision model, “Qwen2.5-VL 3B Instruct.”
• Feature: Add new suggested models. Added “gemma-3-270m” to the recommended list
• Improvement: Faster and more reliable downloads. Local model downloads are quicker and more stable; we also fixed an issue that could start extra download workers when the app moved between background and foreground.
• Improvement: Clearer remote model pricing. The price panel now shows “Cache Read (per 1M tokens)” and “Cache Write (per 1M tokens)” so you can estimate costs more accurately when KV cache is used.
• Improvement: Easier ways to contact us. In Feedback, you can open your default email app or DM our X account. There’s also an optional email field if you want a reply. Because the app has no user accounts, we can only respond if you leave contact info.
• Bugfix: Model list refresh. Newly downloaded local models now appear immediately when you switch models inside a chat.

Version 1.1.23

• llama.cpp Upgrade – Updated from b5950 to b6131 for better GPU performance on Apple devices, more efficient KV cache handling, and support for new models: GLM-4.5, SmallThinker, Qwen3-Embedding, and Hunyuan Dense.
• Faster Large Model Imports – Refactored the GGUF file processor to handle 4B+ models with the latest llama.cpp engine, importing quickly without memory overflows.
• Perplexity API Update – Added support for the latest models: sonar, sonar-pro, sonar-deep-research, sonar-reasoning, and sonar-reasoning-pro. Model names can now be edited in Perplexity API settings. (Tip: If you already use the Perplexity API, remove it from the API list and restart the app to apply changes.)
• TTS Settings Enhancement – The TTS settings view now displays your device’s CPU core count to help you choose the optimal thread count.
• Clearer X.com API Key Guide – Added more detailed instructions in Settings for using your X.com API key.
• Tool Description Improvements – Updated the search_contact local tool description so AI knows when and how to use it. Related tools like send_email and send_sms now rely on it for recipient lookup. For example: “Send my wife an SMS and tell her I love her” will first trigger search_contact to find the recipient, then create the message.
• Better HuggingFace Downloads – Model downloads now run in the background and can resume after interruptions. A prompt will notify you when the download is complete—ideal for large models like Qwen3-4B-Thinking/Instruct-2507.
• Tool Search Bar – Added a search bar for local and MCP tools to quickly find what you need as the tool list grows.
• UI Tips Added – Added quick usage tips for API Key Management, Tools, and Remote Services to help new users get started faster.

Bug Fixes

• Fixed: Search bar in Remote Services now filters models correctly.
• Fixed: Removed the “Add” menu from Local Tools, since adding external tools is no longer supported.
• Fixed: Resolved a crash when sending SMS with the send_sms tool.

Version 1.1.21

1. Offline Text-to-Speech

An offline TTS model Kokoros-82M (53 distinct voice styles) is now bundled directly in the app. Any AI reply or Reader article can be spoken aloud entirely on-device, so nothing is sent to the cloud and there are no per-character fees. You can also export the generated audio (M4A,WAV,AIFF) to Files, AirDrop, or any media player for later listening.

2. API Server Templates and Cloning

You can duplicate an existing server profile—such as the HuggingFace—to create custom endpoints in seconds. All models, headers, tokens, and endpoint settings are copied automatically. You only adjust what differs (base URL, model path, etc.). This is ideal when a provider exposes multiple endpoints under a single API key or when you run several private vLLM clusters.

3. Built-in GitHub Provider

GitHub has been added to the list of internal API provider.

4. Flexible Model Selection for Forked or Cloned Chats

When you fork an existing conversation or clone it into a new thread, you can now change the underlying model—local or remote—before the next message is generated. The original chat remains intact, and the new branch inherits the full context and tool settings while letting you compare answers or continue with a faster or cheaper engine.

Bug Fixes

• The file-import button that disappeared inside chats is back.

• Manually entered model names now save correctly in API Key configuration screen.

Version 1.1.17

1. Built-in API Access to z.ai

   We’ve embedded native support for https://api.z.ai/api/paas/v4/. You can now call Z.AI services directly from Privacy AI with your token.

2. Perplexity Model Deprecation

   The outdated r1-1776 model from Perplexity has been removed. Please switch to sonar-reasoning or sonar-reasoning-pro for continued access via OpenRouter.

3. Expanded OpenRouter Protocol Compatibility

   Improved protocol handling ensures better performance and compatibility with the latest OpenRouter models and backends.

4. Major Siri Integration Upgrade

   Local Models Now Work with Siri: You can now trigger local models using Siri voice commands. This is made possible by enhanced performance of llama.cpp-based models.

   Faster AI Replies for Siri: Adjusted prompt logic helps AI respond within Siri’s strict time limits (typically under 8 seconds). For best results, use fast-response models—avoid long-thinking agents.

5. Improved Thinking Text View

   When thinking models produce long outputs, the text now scrolls smoothly with a visible scrollbar—no more UI lockups on lengthy thoughts.

6. Search Tool Now Has Speed/Balance/Quality Modes

   Choose your preferred mode for the searching_tool. “Speed” mode delivers up to 3× faster results, perfect for quick lookups.

7. Code Block UI Stability

   Markdown rendering has been optimized to remain responsive even when AI outputs include very large code blocks (1000+ lines). No more freezing or slowdowns in the chat UI.

Version 1.1.16

1. Fixed API Endpoint Save Bug

   Resolved an issue where custom API base URLs were not being saved properly in the API settings screen.

2. Improved URL Input Experience

   Disabled automatic capitalization for URL fields to prevent input errors when entering API endpoints.

3. Streamlined API Server Creation

   You can now create a new API server directly from the API Key detail view—making it faster to configure your remote models.

4. Enhanced Launch Feedback

   Added detailed progress indicators during app startup to show what’s being synced or initialized.

Version 1.1.6

1. Upgraded to llama.cpp b5950 with expanded local models support. Added support for the following new local GGUF models:

• Menlo_Lucy: https://huggingface.co/Menlo/Lucy
• SmolLM3: https://huggingface.co/blog/smollm3
• OpenReasoning-Nemotron-1.5B: https://huggingface.co/nvidia/OpenReasoning-Nemotron-1.5B

2. Comprehensive rebuild and optimization of llama.cpp for iOS

• Rebuilt the entire iOS build system for llama.cpp, generating a smaller and faster xcframework optimized for Apple devices.
• The Swift wrapper has been completely rewritten to improve memory handling and inference throughput.
• Benchmark results show a ~30% performance boost in local model prediction on Apple chips. Technical details: https://privacyai.acmeup.com/docs/article_30_localmodel_optimization.html

3. Improved YouTube subtitle handling The YouTube caption downloader now automatically falls back to the default subtitle track when the English caption is unavailable, improving compatibility with non-English content.
4. Enhanced Markdown conversion for specific blog websites in Reader Reader now better supports various blog layouts and formats, producing cleaner, more accurate Markdown output for improved content processing and analysis.

Version 1.1.5

1. Groq Cloud Support You can now connect directly to Groq API inference service.
2. Chat Prompt Sync with iCloud Each chat now syncs its prompt properly across devices via iCloud.
3. Faster First-Time Setup on New Devices We’ve optimized iCloud sync performance when launching the app for the first time on a new device. Chats, settings, and models now load faster and more reliably.
4. Improved Database Readiness for iCloud Devices All critical data — including API keys and remote server configs — are now synced before the app starts. We’ve also added a “Refresh” button to manually trigger sync if needed.

Version 1.1.4

We’ve just released Privacy AI v1.1.10 (Build 47) with a few important improvements: 1. Fixed a bug that prevented users from switching between text-only and text-to-image chat modes without creating a new session. 2. Resolved a serious performance issue on iPad that caused scrolling to drop below 10 FPS in some cases. 3. Added a new cache management system that significantly improves app launch speed.

Version 1.1.3

Here’s what’s new in this build — coming to App Store globally this weekend:

1. Scanned PDF OCR Extract text from scanned PDFs — fully offline, no cloud involved.
2. Moonshot API Integration Now supports Moonshot servers like Kimi-K2 natively.
3. Parallel Conversations iPhone: run 8 AI chats at once. iPad: up to 12. Seamless multitasking.
4. iPad Split View Enhanced Smarter layout adaptation when multitasking on iPad.
5. iCloud Key Fix Resolved API key sync issues across your Apple devices.
6. Chat Launch Boosted Chats open faster than ever.
7. LiquidAI Ready Upgraded llama.cpp to support Liquid series models for offline use.

Version 1.1.2

1. Qwen Model Optimization – Switched from 1.7B to 0.6B for better performance on older devices, with strong summarization and tool execution still intact
2. YouTube Caption Summarization – Quickly summarize videos using available captions
3. Improved Reading – Remembers your last reading position and features a smoother outline view
4. Photo Sharing Fixes – Sharing images into Privacy AI now works reliably across apps
5. llama.cpp Upgrade – Updated to b5846, with support for Baidu’s ERNIE-4.5 models

Version 1.1.1

This update brings powerful new capabilities—built for professionals, researchers, and AI power users:

1. HuggingFace Integration – Connect to any Inference Endpoint with your token
2. Polymarket Tool – Analyze real-time prediction markets for research and strategy
3. Statistical Toolkit – Run advanced Bayesian and frequentist analysis with any tool-capable model
4. MCP Upgrade – Now supports Authorization headers for secure remote access

Version 1.1.0

1. Upgraded OpenAI Protocol Support Compatibility and responsiveness with services like Perplexity, Gemini, Anthropic, Mistral, and xAI have been significantly improved by updating to the latest OpenAI-compatible protocol version.
2. Faster Web Search Tool The search_web tool has been completely rewritten, resulting in a 60% boost in search speed and responsiveness.
3. llama.cpp Core Upgrade Updated to b5760, this release brings full support for the latest Gemma 3n open-source model, enabling faster and smarter on-device AI performance.
4. Fork a Chat Anytime Now you can instantly fork any conversation into a new thread—preserving all previous messages and tool settings for seamless exploration.
5. Improved Academic Search Accuracy The search_arxiv tool has been fine-tuned for more accurate academic paper search, delivering better results from the ArXiv database.