An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands.
At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world.
You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work.
LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.
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Aiko
Aiko is an AI transcription app from Sindre Sorhus that helps users convert audio into text on macOS, iOS, and visionOS. The app is powered by OpenAI’s Whisper model and runs transcription locally on the user’s device. This on-device approach makes Aiko well suited for private meetings, lectures, interviews, voice notes, and sensitive recordings. On macOS, Aiko uses the Whisper large v2 model, while iOS uses the medium or small model depending on available device memory. The app supports Shortcuts, giving users flexible ways to record, transcribe, copy results, create subtitles, save text, or connect transcripts to other workflows. Users can transcribe from Finder on macOS, record and transcribe from iPhone shortcuts, or build custom workflows that pass transcripts into apps like Notes or ChatGPT. Aiko includes a free 14-day TestFlight trial with full app access and no auto-charges. Older macOS versions are available for users on macOS 13, 14, and 15. By combining local Whisper transcription, Apple platform support, privacy, and Shortcuts automation, Aiko gives users a simple way to turn speech into text.
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Apple Dictation
Apple Dictation is an integrated feature in macOS that allows users to input text by speaking in any application where text can be entered. Once the feature is activated, users can initiate it using the Microphone key, a personalized keyboard shortcut, or by selecting Start Dictation, and can terminate it with the Escape key, the same shortcut, or the Microphone key again. For those using Apple silicon Macs, it is possible to continue typing while dictating, with Dictation resuming listening once keyboard activity ceases. Users can issue spoken commands to insert emoji, punctuation marks, new lines, and new paragraphs, and the system can automatically add commas, periods, and question marks in supported languages. Dictation is capable of handling text of any length and will cease automatically after 30 seconds of no detected speech input. If macOS is unsure about a particular word, it highlights the text for users to either choose an alternative or make a manual correction. Additionally, users can enable multiple Dictation languages and switch between them during their speech, while also having the option to select their preferred microphone or allow macOS to make that choice automatically. This flexibility makes Apple Dictation a powerful tool for enhancing productivity and accessibility across macOS applications.
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