About Us
The fastest way to get answers from your documents
Upload and you're done. AI reads, searches, and answers.
Problem
Your AI system is already facing these issues
Pipeline Complexity
OCR, chunking, embedding, vector DB, LLM integration — each piece of infrastructure must be built and maintained separately.
No Source Tracking
You can't trace which document or page an answer came from. Unverifiable answers are unusable for business.
Hidden Costs
GPU instances, vector DB hosting, OCR APIs, LLM tokens — each billed separately, making total cost unpredictable.
Solution
Schift solves all of this
Upload → Auto-process → Instant search & answers
Drop
Upload PDFs, DOCX, images
Auto Process
OCR + chunking + embedding
Search
Semantic vector search
Answer
AI answers with citations
Platform
Document AI in one API
RAG API
Upload documents and OCR, chunking, and embedding happen automatically. Search and AI answers from a single endpoint.
- →All-in-one: upload → OCR → chunking → embedding → search → answer
- →Cited answers: every response includes document name and page number
- →Multi-LLM: freely choose GPT, Claude, or Gemini
- →3 lines of code: production-ready right after SDK install
Workflow Builder
Combine 25+ blocks to build custom document AI pipelines. Describe in natural language and AI generates the workflow automatically.
- →Visual DAG editor: drag & drop to build pipelines
- →Agentic Builder: natural language → auto-generated workflow
- →Field-based OCR: extract structured data from receipts and contracts
- →API deploy: instantly publish workflows as API endpoints
Features
Key capabilities
Bucket Upload
Drag & drop PDF, DOCX, and images. Automatic OCR, chunking, and embedding.
RAG Chat
One endpoint for streaming AI answers with source citations. Choose GPT, Claude, or Gemini.
Streaming Answers
SSE streaming returns sources first, then generates AI answers in real-time. Maximum perceived speed.
Auto Language Routing
Auto-detects Korean, English, Japanese and routes to the optimal embedding model per language.
LLM Router
OpenAI-compatible API to swap any LLM without code changes. Optimize cost and performance.
Usage-based Billing
Per-page ingest, per-request search. Zero cost when idle. Predictable, transparent pricing.
Built-in OCR Engine
Schift's own OCR automatically recognizes PDFs, images, and scanned documents. Optimized per document type.
Chunk-level Location
Results include PDF page numbers, audio timestamps, and video frame positions.
Fully Managed Storage
No vector DB setup needed. Schift handles embedding storage, indexing, and search for you.
Why Schift
Build it yourself vs Schift
3 lines
Code needed for production RAG
10+
Supported vector DBs
25+
Workflow blocks
5
OCR engines supported
| DIY | Schift | |
|---|---|---|
| Initial build | 2–3 engineers x 3 months | Instant after API key |
| Infra management | GPU, vector DB, OCR separately | Fully managed |
| LLM swap | Code changes + redeploy | One parameter change |
| Source tracking | Build it yourself | Page & timestamp auto-included |
| Monthly cost (1K docs) | $2,000–$5,000+ | ~$14 |
Integrations
Connect from anywhere
3 Lines to Start
# pip install schift from schift import Client
client = Client("sk-...")
answer = client.chat(
bucket="my-docs",
query="2024 revenue?"
)LLM
Claude 
Gemini Frameworks
LangChain 
Vercel AI SDK
Python 
TypeScript REST API / CLI Vector Database
pgvector 
Elastic 
Redis AI Agents
Claude Code 
Cursor Comparison
Alternatives are expensive or complex
| LangChain + Pinecone | AWS Bedrock KB | Schift | |
|---|---|---|---|
| Setup | Write code yourself | AWS console config | Instant after API key |
| Monthly cost (1K docs) | Pinecone $70 + GPU $200+ + labor | $500–$2,000 | ~$14 |
| OCR | Build it yourself | Textract (extra charge) | 5 engines, auto-selected |
| LLM choice | Any | AWS models mainly | GPT, Claude, Gemini freely |
| Source tracking | Build it yourself | Built-in | Page & timestamp auto |
| Workflows | Code from scratch | Step Functions | Visual editor + AI generation |
| Vendor lock-in | Pinecone lock-in | AWS lock-in | No lock-in |
Start building with Document AI today
Three lines of code is all it takes. Try it free and experience production-quality results.