
Sonix.ai
Otter.ai
Descript
HappyScribe
Trint
Notta.ai
Rev.com
TurboScribe
Google Cloud Dataflow
Amazon EMR
Google BigQuery
Qubole
Snowflake
Databricks
Apache Beam
Amazon Kinesis
Sonix.ai
Google Cloud DataflowGoogle Cloud Dataflow might be a bit more popular than Sonix.ai. We know about 14 links to it since March 2021 and only 12 links to Sonix.ai. 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.
Sonix | Senior Full-Stack Engineer | Remote (US only) | Full-time | Ruby on Rails + React Sonix (https://sonix.ai) is an AI-powered transcription and translation platform used by thousands of businesses, researchers, media teams, and legal professionals around the world. Weโre profitable, bootstrapped, and growing fast. Weโre looking for a senior full-stack engineer to join our small team. Youโll work directly... - Source: Hacker News / about 1 year ago
There's dozens of tools out there for this these days. I'd recommend sonix.ai they give you 30 minutes free. Source: about 3 years ago
Do you have a budget? If so, there's this tool I've worked with called Sonix that generates transcripts of what you feed into it. It's not super accurate, but it's good enough. One of the features is that you can "highlight" chunks of text, and have it spit out an XML that will have a sequence containing only the highlighted text. Source: over 3 years ago
Sonix was the one I used because it had 30 free minutes and the video was only 10-11 minutes long. It seems to have done a really decent job, but not sure if that's because the source audio is pretty clear. Source: over 3 years ago
Sonix.ai does many languages and is quite good. Source: over 3 years ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 3 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: almost 4 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 4 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / over 4 years ago
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Descript - Text-based audio editor and automated transcription
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
HappyScribe - Happy Scribe automatically transcribes your interviews
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.