
Automatically optimize your video library, in France
Automatically transcode, normalize, and lighten your video library with Tdarr, the distributed and conditional transcoding system — installed and supervised by DINAO on our French servers.
What is Tdarr?
Tdarr is an automated transcoding and optimization system for video libraries, built around a distributed and conditional transcoding engine. It analyzes each file in your collection and, based on the rules you define (codec, resolution, bitrate, audio tracks, and subtitles), only transcodes what is truly necessary to standardize formats.
The tool allows you to convert your videos to more efficient codecs (H.265, AV1…) to significantly reduce the size of your library while maintaining quality. Its server + node architecture distributes processing load, with optional GPU hardware acceleration, and a fully customizable plugin and workflow system.
Featuring a comprehensive web interface (queue, statistics, reports), Tdarr is deployed via Docker and makes an ideal service to run in a managed mode, where DINAO handles hosting, configuration, backups, and updates.
Host Tdarr at DINAO
Resource tiers compatible with Tdarr prerequisites (minimum 2 vCPU / 2 Go / 10 Go). Hosted in France, fully managed.
- 2 dedicated vCPU
- 4 Go RAM
- 40 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 4 dedicated vCPU
- 8 Go RAM
- 80 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 8 dedicated vCPU
- 16 Go RAM
- 160 GB NVMe
- Daily backups
- Managed & monitored by DINAO
1 hidden tier(s) (insufficient resources for this app) : Découverte
Technical details
You might be wondering…
What is Tdarr used for?
Tdarr automates the transcoding and optimization of your video library: it analyzes each file, applies your rules (codec, resolution, audio tracks), and only converts what is necessary to standardize formats and reduce storage space.
How does Tdarr save space?
By converting your videos to more efficient codecs like H.265 or AV1, with controlled quality, Tdarr significantly reduces file size — particularly useful for large libraries.
Is hardware transcoding (GPU) available?
Yes, as an option. A dedicated GPU greatly accelerates transcoding compared to CPU alone. Since Tdarr is distributed, you can also distribute the load across multiple processing nodes.
Where is the data hosted?
On DINAO infrastructure in France, in one of the available data centers. Your library, queue, and configuration never leave the country.
Do I need technical skills?
Workflow configuration can be complex: DINAO assists you with setting up rules and plugins, manages installation, security, and updates. You remain in control of your library.