This release is a pre-release and may not be stable for production use.
UploadStream
Streaming raw request-body helpers for FastAPI that enable efficient handling of large binary uploads without multipart complexity.
This is a third-party project, not created by the FastAPI team.
Features
- Streaming uploads - Handle large files without loading them entirely into memory
- Binary body support - Accept raw binary data directly in request bodies
- Content-Length aware - Automatically extract file size from request headers
- OpenAPI documentation - Auto-generate schema documentation for streaming endpoints
- File-like interface - Use familiar
read()methods for consuming streams
Installation
pip install fastapi_uploadstream
Quick Start
from typing import Annotated
from fastapi import FastAPI
from fastapi_uploadstream import UploadStream, StreamBody, install_uploadstream_openapi
app = FastAPI()
install_uploadstream_openapi(app)
@app.post("/upload")
async def upload_file(
body_content: Annotated[
UploadStream,
StreamBody(
media_types=["application/octet-stream"],
title="File upload",
),
],
):
# Read the streamed content
data = await body_content.read()
return {
"size": body_content.size,
"content_type": body_content.content_type,
}
Usage
StreamBody Dependency
The StreamBody dependency configures how your endpoint accepts streaming uploads:
StreamBody(
media_types=["application/octet-stream", "text/plain"], # Accepted content types
include_in_schema=True, # Include in OpenAPI schema
title="Upload content", # OpenAPI title
)
UploadStream Object
Once received, you interact with the stream through UploadStream:
@app.post("/upload")
async def handle_upload(body: Annotated[UploadStream, StreamBody(media_types=["*/*"])]):
# Access file metadata
print(f"Size: {body.size}") # From Content-Length header
print(f"Type: {body.content_type}")
print(f"Name: {body.filename}") # From x-filename header
# Read the stream in chunks
chunk = await body.read(1024) # Read up to 1024 bytes
# Read remaining data at once
remaining = await body.read() # Read all remaining data
# Read everything (resets on first call)
all_data = await body.read(-1) # Read all from beginning
OpenAPI Documentation
Call install_uploadstream_openapi() to add automatic schema documentation:
app = FastAPI()
install_uploadstream_openapi(app)
This adds proper OpenAPI definitions for binary request bodies on your streaming endpoints.
When to Use
✅ Use UploadStream for:
- Large file uploads (to avoid memory overhead)
- Proxying streaming content to a backend API or storage
- Binary data streams
- Direct binary body requests
- Maintaining Compatibility with non-form-based legacy endpoints
❌ Use FastAPI's UploadFile for:
- Multipart form uploads
- Multiple files in one request
- Form fields + file combinations
Example: File Upload with Size Tracking
@app.post("/upload-large")
async def upload_large_file(body: Annotated[UploadStream, StreamBody()]):
bytes_received = 0
chunk_size = 65536 # 64KB chunks
while True:
chunk = await body.read(chunk_size)
if not chunk:
break
bytes_received += len(chunk)
# Process chunk...
return {"total_bytes": bytes_received}
Requirements
- Python 3.10+
- FastAPI 0.116.1+
- anyio (for async streaming primitives)
License
MIT
Metadata
Release files for fastapi-uploadstream 0.1.0rc1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fastapi_uploadstream-0.1.0rc1.tar.gz | 8.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fastapi_uploadstream-0.1.0rc1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.0 kB
Release files / fastapi_uploadstream-0.1.0rc1.tar.gz
| Download URL | fastapi_uploadstream-0.1.0rc1.tar.gz |
|---|---|
| Size | 8.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 14, 2026.
Transparency logRelease files / fastapi_uploadstream-0.1.0rc1-py3-none-any.whl
| Download URL | fastapi_uploadstream-0.1.0rc1-py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ff6bb86176468f57d70a80eccae3efa888c7cd669f8e141515e0f33147bd54e9
|
|
BLAKE2b-256 checksum How to use checksums |
1f88c0198c5be39572e3ac5f27cce1dc60e92db17fa47eb8124e5a871911f4cb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 14, 2026.
Transparency log