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SpectroTime's answer
We use time tracking data and AI to continuously improve team productivity over time. By analyzing work patterns through data, companies can pinpoint areas that need attention and refine time management strategies. AI comes into play by automating mundane tasks, allowing more time for essential work and aiding in task prioritization.
SpectroTime's answer
Software development companies and Design Agencies
SpectroTime's answer
SpectroTime's answer
SpectroTime stands out due to:
For more details, visit SpectroTime.
SpectroTime is a top recommendation for Windows users seeking a sophisticated time tracking tool that supports enhanced team functionality and insightful analytics. Ideal for managing both remote and in-office teams, it combines a user-friendly interface with powerful features to boost productivity
It's as easy to use as any familiar app you already know, but with the added benefit of tracking your time and managing your tasks. You can start tracking your tasks right after it's installed - no complex setup is required.
We found SpectroTime when we were looking for a cheap way to keep track of our work hours, tasks, and take screenshots. It's great because it works just like some of the basic apps on Windows, which makes it easy to get used to. We really liked how it lets us connect time tracking with the tasks we're doing, and the screenshot feature is super useful, especially for keeping everyone honest about what they're working on. The app feels right at home on Windows, looking and working like the apps we're already used to. It's perfect for small teams like ours who want something straightforward and affordable. We've had a good experience with it and think other small teams would like it too.
Based on our record, AssemblyAI seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The auto caption is from assemblyai.com, they do a pretty good job. As for manual, you can do `Add Layer` > `Text` from the short-form editor then trim each text layer. Its slow going though. Ideally we will figure out a better interface and build it. For now I recommend using the auto caption, then modifying it to your liking, if there is more than a few words it will probably be faster. Thanks for the kind words! Source: about 1 year ago
Assemblyai is a great tool for extracting transcripts from videos, I have used it for investor presentations from other sources. - Source: dev.to / almost 2 years ago
AssemblyAI is pioneering accurate and accessible speech recognition powered by cutting edge Deep Learning, Machine Learning, and AI research. Its Speech-to-Text API transcribes audio and video files and live audio streams with industry-best accuracy. In addition, the company offers Audio Intelligence APIs that secure higher ROI for users, including Sentiment Analysis, Topic Detection, Content Moderation, Auto... - Source: dev.to / over 2 years ago
Check out http://assemblyai.com/ - the API has pretty good Diarization results and is free for small volumes of data. Source: over 2 years ago
Hello r/python community. I spent a couple weeks analyzing some podcast data from Up First and The Daily over the last year, 8/21/2020 to 8/21/2021 and compared spikes in the frequency of negative news in the podcast to how the stock market performed over the last year. Specifically against the DJIA, the NASDAQ, and the price of Gold. I used Python Selenium to crawl ListenNotes to get links to the mp3 files,... Source: almost 3 years ago
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