Descript
Otter.ai
HappyScribe
Sonix.ai
Notta.ai
Fireflies.ai
Trint
Rev.com
Apache Pig
Looker
Jupyter
Google BigQuery
Presto DB
Databricks
Rakam
Informatica
Descript
Apache PigApache Pig is recommended for data engineers and analysts who are working in Apache Hadoop environments and need to perform ETL (Extract, Transform, Load) operations on large datasets. It is also suitable for teams looking to leverage existing Hadoop infrastructures without delving into complex Java MapReduce programming or when migrating legacy processing scripts based on Pig Latin.
Coming from a video editing background, Descript might take some getting used to. But once you figure it out, it speeds up your editing (especially interviews/long-form voiceover). The captions are very nice to work with, but a bit limited in terms of styles. There are a lot more caption styles, transitions, and effects in CapCut, but Descript excels in simplicity and speed.
The saved layouts (you can make your own) are very good if you want to create a bunch of videos on different topics with the same design scheme or branding.
Based on our record, Descript should be more popular than Apache Pig. It has been mentiond 12 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.
For transcripts, I use Descript. Descript is able to identify all four of our panel members, and I usually spend an hour or so cleaning it up and setting the transcript into a video for YouTube. Source: over 3 years ago
I don't understand exactly what you are trying to do, but I'm pretty sure Descript can do what you want. Source: over 3 years ago
I tried to use descript.com but found out that they didn't have a download for Linux and that their online version doesn't allow you to edit your transcript. Source: almost 4 years ago
Edit your audio with software like Descript or Audacity. Source: about 4 years ago
Looks like an 'audiogram' from descript.com - you can make them on their paid service. Source: over 4 years ago
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 3 years ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / almost 5 years ago
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
HappyScribe - Happy Scribe automatically transcribes your interviews
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Sonix.ai - Automatically convert audio & video to text in minutes
Google BigQuery - A fully managed data warehouse for large-scale data analytics.