
Try Saddle
VEED
Rev.com
AI Transcriber Bot for Slack
SubMagic
Kapwing
HappyScribe
Business-grade subtitle translation powered by AI. Match the quality and style of expert linguists, at a fraction of the cost.

JasperReports
Telerik Reporting
Crystal Reports
Sisense
i-net Clear Reports
SharpDevelop Reports
Microsoft Power BI
Jul 1, 2017 - Learn about tools and services for mobile and paginated Reporting Services reports and Power BI reports on premises.
Which is more popular?
Based on our record, Fluen AI seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | fluen.ai | microsoft.com |
| Pricing | — | |
| Company | 2023 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Automatic subtitle generator, translator and editor for video and audio files, that matches the quality and style of captions produced by professional linguists, helping companies to slash localization costs, and minimize the time-to-market. Post-Edit your own AI-generated captions, or let us do it.
No description of SQL Server 2017 yet.
What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of SQL Server 2017 yet.
Walkthroughs and reviews on video.
No Fluen AI videos yet. You could help us improve this page by suggesting one.
SQL Server 2017 – Everything you need to know
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Fluen AI and SQL Server 2017.
Fluen AI's answer
Spring and React Frameworks
Fluen AI's answer
Fluen AI's answer
For its easy to use and superior output quality, with much cheaper prices.
Fluen AI's answer
Localization professionals, Language service providers, video editors, e-learning specialists, global marketing agencies, and corporate localization teams.
Fluen AI's answer
Fluen AI was built by professionals who have been working in the language industry for more than 15 years, and saw the opportunity to build a completely new tool for automatically producing real and proper professional-grade subtitles using AI, and not just a tool that uses some third party ASR service and splits captions at punctuation marks.
Share your experience with using Fluen AI and SQL Server 2017. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Not open source, but https://fluen.ai does a good job at translating subs, while using your own or standards style guides for the target language - ie. Reading speed, max characters, "chunking" sentences where it grammatically makes... - Source: Hacker News / about 2 years ago
Https://fluen.ai gives very accurate subtitles (and subtitle translations). - Source: Hacker News / over 2 years ago
Tracking SQL Server 2017 since Mar 2021.
When comparing Fluen AI and SQL Server 2017, you can also consider the following products.

Saddle is a complete AI solution for ultra-accurate captioning, dubbing, and localization across broadcast and VOD, streamlining post-production and global distribution in one professional platform.
Compare Try Saddle to Fluen AI or SQL Server 2017:

JasperReports Server is a stand-alone and embeddable reporting server.
Compare JasperReports to Fluen AI or SQL Server 2017:


Deliver Reports to Any Application. Add reports to any business application. View reports on mobile devices and in web, desktop and cloud apps. Export reports to any format.
Compare Telerik Reporting to Fluen AI or SQL Server 2017:

Transcriptions, captions, and subtitles that are affordable, fast, and high-quality.
Compare Rev.com to Fluen AI or SQL Server 2017:

Save up to 25% when you buy or upgrade. Discover SAP Crystal Reports to take control of complex data and monitor business performance to achieve results.
Compare Crystal Reports to Fluen AI or SQL Server 2017: