Suya OCR API — vLLM-backed, OpenAI-compatible OCR service

FastAPI service wrapping the Surya-OCR-2 model (datalab-to) served through vLLM:
legacy /v1/api/ai/* endpoints, an OpenAI-compatible /v1/chat/completions endpoint,
a coalescing request batcher, a local OCR CLI, Docker packaging, multilingual
example outputs, and quantization/concurrency benchmarks.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Fu Dai
2026-06-17 10:20:02 +04:00
co-authored by Claude Opus 4.8
commit 1a585693be
147 changed files with 13827 additions and 0 deletions
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from typing import List
import click
import os
from surya.input.load import load_from_folder, load_from_file
from surya.settings import settings
class CLILoader:
def __init__(self, filepath: str, cli_options: dict, highres: bool = False):
self.page_range = cli_options.get("page_range")
if self.page_range:
self.page_range = self.parse_range_str(self.page_range)
self.filepath = filepath
self.config = cli_options
self.save_images = cli_options.get("images", False)
self.debug = cli_options.get("debug", False)
self.output_dir = cli_options.get("output_dir")
# Opt in to leaving the inference server up so later commands reuse it.
if cli_options.get("keep_server"):
settings.SURYA_INFERENCE_KEEP_ALIVE = True
self.load(highres)
@staticmethod
def common_options(fn):
fn = click.argument("input_path", type=click.Path(exists=True), required=True)(
fn
)
fn = click.option(
"--output_dir",
type=click.Path(exists=False),
required=False,
default=os.path.join(settings.RESULT_DIR, "surya"),
help="Directory to save output.",
)(fn)
fn = click.option(
"--page_range",
type=str,
default=None,
help="Page range to convert, specify comma separated page numbers or ranges. Example: 0,5-10,20",
)(fn)
fn = click.option(
"--images",
is_flag=True,
help="Save images of detected bboxes.",
default=False,
)(fn)
fn = click.option(
"--debug", "-d", is_flag=True, help="Enable debug mode.", default=False
)(fn)
fn = click.option(
"--keep_server",
is_flag=True,
default=False,
help="Keep the inference server (vllm/llama.cpp) running after this command exits so later commands reuse it instead of re-spawning.",
)(fn)
return fn
def load(self, highres: bool = False):
highres_images = None
if os.path.isdir(self.filepath):
images, names = load_from_folder(self.filepath, self.page_range)
folder_name = os.path.basename(self.filepath)
if highres:
highres_images, _ = load_from_folder(
self.filepath, self.page_range, settings.IMAGE_DPI_HIGHRES
)
else:
images, names = load_from_file(self.filepath, self.page_range)
folder_name = os.path.basename(self.filepath).split(".")[0]
if highres:
highres_images, _ = load_from_file(
self.filepath, self.page_range, settings.IMAGE_DPI_HIGHRES
)
self.images = images
self.highres_images = highres_images
self.names = names
self.result_path = os.path.abspath(os.path.join(self.output_dir, folder_name))
os.makedirs(self.result_path, exist_ok=True)
@staticmethod
def parse_range_str(range_str: str) -> List[int]:
range_lst = range_str.split(",")
page_lst = []
for i in range_lst:
if "-" in i:
start, end = i.split("-")
page_lst += list(range(int(start), int(end) + 1))
else:
page_lst.append(int(i))
page_lst = sorted(
list(set(page_lst))
) # Deduplicate page numbers and sort in order
return page_lst