Real Assist vs Aiko

Real Assist is an AR-based Remote Assistance Cross-Platform solution that enables the enterprise to leverage efficient, schedule-based and AR-enabled capabilities with live annotations for providing remote and virtual support. Real Assist supports three roles 1. Host/ Operator who shares camera feed and receives support, 2. The instructor who provides virtual support and augments rich contents on real-time feed received 3. A spectator who participates in session as a viewer without any controls. Real Assist is equipped with more than 16 different animated 3D annotations to provide highly interactive capabilities for remote support or assistance. Each annotation control can be disposed of automatically after its rendered or can stay on screen as long as the instructor would like to. During the live support sessions, the host can reconfigure annotation as well. Real Assist uses the device’s native camera and renders as an overlay with rich 3D and 2D contents. Such AR-based assisted support sessions are connected with multiuser video and audio calls. Real Assist is built for and deployed on cloud infrastructure for greater scalability, security and high uptime. Key Features: AR-based real-time Remote Assistance Schedule support calls or sessions for multiple users Invite team members in support calls Add up to 5 members per session Supports 3 different roles for better discussion & control Attend as a supported host, on-field operator or spectator Supports role swapping in ongoing Session On Cloud Session Recording

High-quality on-device transcription. Easily convert speech to text from meetings, lectures, and more. The transcription is powered by OpenAI's Whisper running locally on your device. Nothing leaves your device. You can export the transcription as subtitles too. It has a word-replacement feature to let you automatically fix common mistakes. Aiko favors accuracy over speed. It does not do live transcription while recording. It does not currently have speaker detection. Try the trial first. See website. Note: Sharing from Voice Memos on iOS 26 does not work because of a iOS 26 bug outside of my control. Supports audio in 100 different languages: Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Bangla, Bashkir, Basque, Belarusian, Bosnian, Breton, Bulgarian, Burmese, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Faroese, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Lao, Latin, Latvian, Lingala, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Marathi, Mongolian, Māori, Nepali, Norwegian, Norwegian Nynorsk, Occitan, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Shona, Sindhi, Sinhala, Slovak, Slovenian, Somali, Spanish, Swahili, Swedish, Tagalog, Tajik, Tamil, Tatar, Telugu, Thai, Tibetan, Turkish, Turkmen, Ukrainian, Urdu, Uzbek, Vietnamese, Welsh, Yiddish, Yoruba The app was made possible thanks to Whisper by OpenAI and whisper.cpp by Georgi Gerganov. ■ FAQ ‣ Can I edit the text in the app? I don't plan to support any editing. Export the transcription and edit it in a proper text editor. ‣ Why is the app so large? The app delivers the highest quality transcription on the market for 100 different languages. Rather than asking why it's so large, the real question is how is it so small. ‣ Why is the transcription so slow? The app favors accuracy over speed. However, performance is expected to improve in the coming months. ‣ Why must I keep the iOS app open while it transcribes? iOS apps are fundamentally restricted from operating in the background for extended periods. ‣ Can I delete some of the languages to save space? This is unfortunately not possible. The model has all the languages stored together in a way that makes it impossible to remove just some languages. More FAQs on the website. ■ Technical details The app uses the Whisper medium or small model on iOS depending on available memory and the large v3 model on macOS. ■ Privacy The transcription is done locally on your device. Nothing leaves your device. ■ Support You can contact me through the feedback button in the app.