Three platforms.
Which approach fits you?
schorn.ai, Open WebUI and LibreChat compared for everyday office work: from shared documents and meetings to agents and deployment on your own infrastructure.
As of Published by schorn.ai
Three approaches at a glance
Selected criteria for small and medium-sized businesses: shared knowledge, meeting follow-up and AI on your own infrastructure.
What your office needs every day.
Key office workflows at a glance. Expand an entry to see how it works and view the supporting source.
- Documented feature
- Not established in reviewed sources
Preconfigured AI hardware
- schorn.ai
Documented feature:Available as the schorn.ai Box
The Box is an optional deployment choice with preconfigured hardware and schorn.ai. You can also use your own server.
Source- Open WebUI
Not established in reviewed sources:Not documented
The reviewed installation documentation describes software for your own infrastructure. It does not establish a hardware bundle from the platform provider.
Source- LibreChat
Not established in reviewed sources:Not documented
Docker installation on your own infrastructure is documented. A preconfigured hardware bundle from LibreChat itself is not established in that documentation.
Source
Transcript editor with SRT export
- schorn.ai
Documented feature:Listen, correct, export
Listen to transcript segments, edit them and mark them as reviewed. SRT export includes saved corrections and existing timestamps.
Source (DE)- Open WebUI
Not established in reviewed sources:Not documented
Voice input and voice conversations are documented. A dedicated transcript editor with segment correction and SRT export is not established in the reviewed documentation.
Source- LibreChat
Not established in reviewed sources:Not documented
Audio uploads can be processed as text with configured STT. A dedicated transcript editor with segment correction and SRT export is not established there.
Source
Reusable transcribers
- schorn.ai
Documented feature:Configurable per department
Save a model, specialist vocabulary and workspace as a transcriber, copy it and reuse it in agents and document repositories.
Source (DE)- Open WebUI
Not established in reviewed sources:Not documented
Central speech-recognition settings are documented. Reusable departmental transcribers assignable to agents and repositories are not established in the reviewed sources.
Source- LibreChat
Not established in reviewed sources:Not documented
STT providers and personal speech settings are documented. Reusable departmental transcribers assignable to agents and repositories are not established there.
Source
Shared file and folder repositories
- schorn.ai
Documented feature:Repositories for your team
Open files in shared repositories with folder navigation and search independently of a chat. Editor permissions control changes.
Source (DE)- Open WebUI
Documented feature:Knowledge with folders
Knowledge bases support nested folders, search, file previews and read/write sharing.
Source- LibreChat
Not established in reviewed sources:Not documented
Personal projects with reference files and File Search are documented. A shared, browsable folder repository independent of chat is not established there.
Source
Deployment & setup
- schorn.ai
Documented feature:Your server or the Box
Run on your own infrastructure or choose a preconfigured schorn.ai Box with hardware.
Source- Open WebUI
Documented feature:Self-hosted installation
Docker and other installation options. Configure the platform and model services for your environment.
Source- LibreChat
Documented feature:Docker Compose
Recommended setup with database and search services. Your team manages configuration and operation.
Source
Choice of models
- schorn.ai
Documented feature:Local & external
Manage models centrally and select them for each agent or agent role to suit the task.
Source (DE)- Open WebUI
Documented feature:Ollama & APIs
Connect local models through Ollama and hosted models through OpenAI-compatible APIs.
Source- LibreChat
Documented feature:Multiple providers
Configure providers such as OpenAI and Anthropic, plus custom endpoints including Ollama.
Source
Document knowledge
- schorn.ai
Documented feature:Shared repositories
Organise files in folders, search them and explicitly connect them to agents as knowledge sources.
Source (DE)- Open WebUI
Documented feature:Knowledge bases & RAG
Use documents as context, with knowledge bases, hybrid search and source references.
Source- LibreChat
Documented feature:File Search & RAG
Agent file search through a separate RAG service. Files can also be included as text.
Source
Agents
- schorn.ai
Documented feature:Roles for each task
An agent can select from multiple roles with their own prompts, models and tools to match a request.
Source (DE)- Open WebUI
Documented feature:Configure models
Equip models with custom instructions, knowledge and tools for specific tasks.
Source- LibreChat
Documented feature:Custom agents
Build agents with instructions, files and tools; connect code execution and API actions.
Source
External tools
- schorn.ai
Documented feature:MCP per agent role
Assign external tools to a specific role through an MCP URL and HTTP headers where needed.
Source (DE)- Open WebUI
Documented feature:MCP & OpenAPI
Native MCP over Streamable HTTP. Other MCP transports can be connected through the mcpo proxy.
Source- LibreChat
Documented feature:MCP
Configure MCP servers using transports including stdio, SSE and Streamable HTTP.
Source
Teams & sign-in
- schorn.ai
Documented feature:SAML & workspaces
SSO through SAML 2.0. Map groups to user, editor or administrator roles in each workspace.
Source (DE)- Open WebUI
Documented feature:SSO, groups & permissions
OIDC and LDAP among other options; roles, groups and permissions for individual resources.
Source- LibreChat
Documented feature:SSO & access control
Options include OIDC, SAML and LDAP. Access to agents, prompts and MCP servers is configurable.
Source
Speech & transcription
- schorn.ai
Documented feature:Dedicated transcribers
Upload audio and video or record in the browser. Review, edit and export transcripts as SRT.
Source (DE)- Open WebUI
Documented feature:Voice in chat
Speech-to-text and text-to-speech through configured speech services.
Source- LibreChat
Documented feature:Dictation & audio files
Dictate in chat and transcribe audio files with a configured speech-to-text service.
Source
This selection focuses on office workflows and is not an exhaustive feature list. A dash means the specific workflow is not established in the reviewed sources; extensions or other implementations may be possible. Checks indicate documented features, not benchmark results. Availability depends on version, setup and connected services. LibreChat documentation also covers “Latest (dev)”.
Before you decide
What matters beyond features.
Test your everyday tasks with the same models and documents. This shows which interface and workflow help your team.
Does self-hosting keep all data local?
That depends on the connected services. Local models can process content locally; external model APIs, web search and MCP services can send data to other systems. Review the complete processing chain for each platform.
Which costs should I plan for?
Account for hardware or hosting, model usage, setup, updates and backups. Support or commercial services may add further costs. The schorn.ai Box is an optional hardware purchase; see the current options in the Box comparison.
Are the licensing terms the same?
No. Since v0.6.6, Open WebUI uses its own license with branding requirements and exceptions. LibreChat is available under the MIT license. Find information about schorn.ai source code on our open-source page. Check the terms of the relevant version before modifying or redistributing it.