70% smaller storage. Instant semantic search. Decompress only when you need the actual text. Search millions of documents in milliseconds.
You're stuck choosing between searchability and storage efficiency. Until now.
Document archives grow 30% yearly. Keeping everything searchable means keeping everything uncompressed.
Decompress-then-search means minutes of waiting for results. Users give up before finding answers.
Traditional search misses semantic matches. Searching "ML" won't find "machine learning."
ThalosArchive indexes documents at compression time, enabling instant semantic search without decompression.
Document → Compressed + Indexed → Instant Search
from thalos import ThalosClient client = ThalosClient(api_key="ta_xxx") # Add document (compressed + indexed automatically) client.add("doc1", "Machine learning transforms industries...") # Search (NO decompression needed!) results = client.search("AI neural networks") # Decompress only when you need the full text text = client.get(results[0].doc_id)
Case files & contracts
Medical records & research
Papers & publications
Start free. Scale as you grow.
Start searching compressed documents today. No credit card required for free tier.