Albus
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About
Albus is an AI-powered knowledge management platform designed to help businesses and individuals transform scattered documents into a centralized, searchable intelligence hub. By integrating with various file formats including PDFs, audio recordings, images, text files, and web articles, it acts as a semantic indexing engine that understands the deep context of your data. Unlike traditional cloud storage that relies on manual folder structures, Albus automatically categorizes and organizes information based on its meaning, making it easier to navigate large volumes of disparate content without the need for manual sorting. The tool utilizes a range of advanced large language models, including GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro, to process and query your library. A standout feature is its hallucination-free engine, which focuses on extracting answers directly from your uploaded content while providing precise page and section references. Users can interact with their data through a conversational interface or use a canvas mode for more complex semantic mapping and visualization. Beyond text, Albus supports multi-modal capabilities such as generating life-like audio narrations via ElevenLabs, creating AI images, and transcribing audio files directly within the workspace. Albus is particularly suited for research-intensive roles, project managers, and businesses that handle extensive documentation. For instance, legal or academic professionals can use it to cross-reference multiple papers, while product teams might use it to synthesize customer feedback and technical specifications. It is also valuable for creative professionals who want to turn their personal archives into a functional knowledge base or generate podcasts and insights from existing materials. The platform supports a wide array of AI models, including reasoning models like OpenAI-o1 and Deepseek-R1 for high-level analysis. What distinguishes Albus from standard AI chatbots or file storage services is its emphasis on structure and provenance. It eliminates the need for manual folder management through its semantic auto-organization engine. Furthermore, the platform maintains a strong stance on data privacy, explicitly stating that user data is not used for model training and that users retain all commercial rights to their creations. With tiered plans ranging from a free starter to high-limit reasoning tiers, it provides a scalable solution for organizations of various sizes looking to leverage their internal data securely.
Pros & Cons
Supports a wide range of file types including PDFs, images, audibles, and web articles.
Provides high-precision referencing with page and section pointers to reduce hallucinations.
Automatically organizes files semantically, removing the need for manual folder creation.
Offers access to advanced reasoning models like OpenAI-o1 and Deepseek-R1.
Ensures user privacy by not using uploaded data for AI training.
The free tier is limited to only 10 file uploads.
Access to advanced reasoning models requires the most expensive Max subscription tier.
Word limits apply to advanced and reasoning model usage on all paid plans.
Life-like audio narration through ElevenLabs is capped at 60 minutes even on the highest plan.
Use Cases
Academic researchers can upload hundreds of papers to semantically map topics and get cited answers across their entire PDF library.
Operations managers can create a centralized business knowledge base from internal docs to provide staff with instant, referenced answers.
Content creators can use the audio narration and transcription features to turn text-based research into draft scripts or life-like audio content.
Project leads can use Canvas mode to visualize connections between various project documents and web resources for better strategic planning.
Platform
Features
• real-time web search
• multi-modal file processing
• conversation and canvas modes
• image generation (dall-e 3, flux)
• audio narration (elevenlabs)
• precise page referencing
• automatic file organization
• semantic mapping
FAQs
Can Albus search through images and audio files?
Yes, Albus features multi-modal file processing that allows it to analyze the content of images and audio recordings alongside text documents. You can perform semantic searches across these various formats and even generate transcripts for your audio files.
How does Albus handle data privacy and model training?
Albus does not utilize or facilitate user data for training its AI models. Users retain full personal and commercial rights to all content and images they generate or create within the platform.
What AI models does Albus use to answer questions?
Depending on the plan, Albus provides access to various models including GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro. The Max plan also includes reasoning models like OpenAI-o1 and Deepseek-R1 for more complex analytical tasks.
Does the tool provide citations for the information it finds?
Yes, Albus is designed to be hallucination-free by providing precise referencing. When it finds relevant information in your library, it points out the specific page and section where the data originated.
Pricing Plans
Albus Pro
USD20.00 / per month• 1,000 files
• Advanced AI models
• 300,000 words allowance
• 60 minutes standard audio
• 30 minutes ElevenLabs audio
• 200 image generations
• Unlimited entry AI models
Albus Max
USD50.00 / per month• 5,000 files
• Reasoning AI models (o1, Deepseek-R1)
• 1,000,000 words advanced models
• 120 minutes standard audio
• 60 minutes ElevenLabs audio
• 300 image generations
• 100,000 reasoning words
Free starter
Free Plan• 10 files
• Entry AI models (GPT-4o-mini)
• Real-time web search
• Conversation mode
• Canvas mode
• Semantic intelligence
• Multi-modal file processing
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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