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EverAlgo parser: multimodal raw-file parsing (image / audio / document / video / url) into ParsedContent.

Project description

everalgo-parser

Multimodal parsing — image / audio / document / video / url raw inputs into ParsedContent. Used by everalgo-knowledge for file ingestion and by evermem step 1 for inline parsing.

See the umbrella project: EverAlgo monorepo and the architecture document at docs/concepts/architecture.md.

Quick start

import everalgo
from everalgo.llm.config import LLMConfig
from everalgo.llm.providers.openai_compat import OpenAICompatClient
from everalgo.parser import aparse, RawFile

# Configure an LLM once (process-wide). The parser uses OpenAI-compatible
# clients; OpenRouter is the reference deployment (Gemini multimodal via
# OpenRouter passthrough).
everalgo.configure(OpenAICompatClient(LLMConfig(
    model="google/gemini-3-flash-preview",
    api_key="sk-or-v1-...",
    base_url="https://openrouter.ai/api/v1",
)))

# Bytes-in: caller already hydrated the file.
parsed = await aparse(RawFile(content=pdf_bytes, extension="pdf"))
print(parsed.text)

# URL-in: parser fetches over HTTP, then delegates to the HTML handler.
parsed = await aparse(RawFile(uri="https://example.com/article"))
print(parsed.metadata["title"], parsed.text[:500])

Supported formats

Modality Extensions Backend
PDF pdf Multimodal LLM (single call, full doc)
IMAGE png / jpg / jpeg / webp / bmp / tiff / tif / svg Multimodal LLM; BMP/TIFF transcoded to PNG via Pillow; SVG rasterised via cairosvg; tall screenshots split + merged
AUDIO mp3 / wav / m4a / amr / aiff / aac / ogg / flac Multimodal LLM ASR
HTML html / htm bs4 cleanup → LLM extraction
EMAIL eml stdlib email + inline-image OCR via the LLM
DOCUMENT docx / pptx / xlsx / doc / ppt / xls / pages / key / numbers / odt / ods / odp / rtf LibreOffice soffice --convert-to pdf → reuse PDF path
URL (any http/https URI) httpx fetch → HTML handler
DIRECT txt / md / csv / tsv / vtt UTF-8 decode, no LLM
VIDEO Deferred (no upstream implementation; ADR pending)

Installation

pip install everalgo-parser            # core: pdf / image / audio / html / eml / direct / url
pip install 'everalgo-parser[svg]'     # adds SVG support (cairosvg)

System dependency for Office documents

Office document parsing (docx / xlsx / pptx / …) shells out to LibreOffice, which is a system package, not a pip wheel. Install before parsing Office files:

# Ubuntu / Debian
sudo apt-get install -y libreoffice

# macOS
brew install --cask libreoffice

The parser detects soffice via shutil.which("soffice") and the canonical macOS Applications path. Missing → RuntimeError with install instructions when an Office file is parsed; non-Office paths are unaffected.

Conventions

  • aparse(...) is async; parse(...) is the sync bridge via asgiref.async_to_sync.
  • Prompts live as module-level string constants under prompts/{en,zh}/<operator>.py (AGENTS.md §5). Swap languages by re-binding the constant at startup.
  • The library is stateless: it never reads the filesystem and never owns business state. HTTP I/O (LLM calls, URL fetching) is explicitly allowed.
  • No retry / fallback / metrics inside operators — surface failures via LLMError, let the caller wrap.

Reference

  • Architecture (definitive): docs/concepts/architecture.md
  • Schema source for PDF / image / audio / document / html / email: evermemos-multimodal (tag prod-20260306-0331-v1).
  • Schema source for URL metadata extraction: evermemos-opensource/src/common_utils/url_extractor.py.

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