Evernote’s new AI Transcribe feature represents a significant value addition to the note-taking platform following its difficult transition under Bending Spoons ownership. The multimodal transcription tool, which quickly and accurately converts audio, video, and image files to text, marks a notable technological advancement for the service that has recently faced criticism for staff reductions and price increases.
The big picture: Evernote has launched a powerful AI-based transcription tool that works across multiple media formats with impressive speed and accuracy.
- The feature is available both within the main Evernote application and as a standalone web tool for easy access.
- Users can upload existing files, record audio directly, or even paste video URLs for instant transcription.
How it works: The AI Transcribe tool processes audio, video, and image files, converting spoken words and written text into editable digital content.
- The system handles files up to 100MB or 60 minutes in length, with special optimization for transcribing Zoom meetings in MP4 and MOV formats.
- For images, the tool can extract text from handwritten notes and whiteboards, supporting both JPG and PNG formats.
Performance details: Testing shows the transcription capability functions efficiently even with challenging content.
- A 55-minute podcast in Brazilian Portuguese was accurately transcribed in under one minute, demonstrating the tool’s processing speed and multilingual capabilities.
- After transcription, users can copy, download, or edit the resulting text directly.
The catch: Evernote’s generous features come with significant usage limitations for non-paying users.
- The free plan restricts users to 50 notes, a single notebook, 200MB maximum note size, and access from only one device.
- Paid subscriptions start at $14.99 monthly or $129.99 annually, positioning the tool primarily for committed users rather than casual transcription needs.
Recent Stories
DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment
The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...
Oct 17, 2025Tying it all together: Credo’s purple cables power the $4B AI data center boom
Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...
Oct 17, 2025Vatican launches Latin American AI network for human development
The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...