ailang-parse 0.1.3

Python client for the AILANG Parse document parsing API

AILANG Parse Python SDK

Python client for the AILANG Parse document parsing API. Parse 13 formats, generate 8 — zero dependencies for Office, pluggable AI for PDFs.

Install

pip install ailang-parse

Quick Start

from ailang_parse import DocParse

client = DocParse(api_key="dp_your_key_here")

# Parse a document
result = client.parse("report.docx")
print(f"{len(result.blocks)} blocks, format: {result.format}")

for block in result.blocks:
    if block.type == "heading":
        print(f"  H{block.level}: {block.text}")
    elif block.type == "table":
        print(f"  Table: {len(block.headers)} cols, {len(block.rows)} rows")
    elif block.type == "change":
        print(f"  {block.change_type} by {block.author}: {block.text}")
    else:
        print(f"  {block.type}: {block.text[:80]}")

Parse Documents

# Parse with different output formats
result = client.parse("report.docx")                        # Block ADT (default)
result = client.parse("report.docx", output_format="markdown")  # Markdown
result = client.parse("report.docx", output_format="html")      # HTML

# Access structured data
print(result.status)          # "success"
print(result.filename)        # "report.docx"
print(result.format)          # "zip-office"
print(result.blocks)          # List[Block]
print(result.metadata.title)  # Document title
print(result.metadata.author) # Document author
print(result.summary.tables)  # Number of tables found

Supported Formats

formats = client.formats()
print(formats.parse)       # ['docx', 'pptx', 'xlsx', 'odt', 'odp', 'ods', 'html', 'md', 'csv', 'epub', 'pdf', 'png', 'jpg']
print(formats.generate)    # ['docx', 'pptx', 'xlsx', 'odt', 'odp', 'ods', 'html', 'md']
print(formats.ai_required) # ['pdf', 'png', 'jpg', 'gif', 'bmp', 'tiff']

Block Types

AILANG Parse returns 9 block types:

Type	Fields	Description
text	text, style, level	Paragraphs, code blocks
heading	text, level (1-6)	Document headings
table	headers, rows	Tables with merge tracking
list	items, ordered	Ordered/unordered lists
image	description, mime, data_length	Embedded images
audio	transcription, mime	Audio transcriptions
video	description, mime	Video descriptions
section	kind, children	Slides, sheets, headers/footers
change	change_type, author, date, text	Track changes

Table cells

Table cells can be simple strings or merged cells:

for block in result.blocks:
    if block.type == "table":
        for cell in block.headers:
            print(f"  {cell.text} (colspan={cell.col_span}, merged={cell.merged})")

Nested sections

Section blocks contain child blocks (slides, sheets, headers/footers):

for block in result.blocks:
    if block.type == "section":
        print(f"Section: {block.kind}")  # "slide", "sheet", "header", "footer", etc.
        for child in block.children:
            print(f"  {child.type}: {child.text[:50]}")

API Key Management

Key generation uses the device auth flow (v0.10.0+). Direct generation is no longer available.

# Get a key via device auth flow:
#   1. POST /api/v1/auth/device       → {device_code, user_code, verification_url}
#   2. User opens verification_url, signs in, clicks Approve
#   3. POST /api/v1/auth/device/poll  → {api_key, tier}

# Check usage
usage = client.keys.usage(key_id="abc123", user_id="user123")
print(f"Requests today: {usage.usage.requests_today} / {usage.quota.requests_per_day}")
print(f"Pages this month: {usage.usage.pages_this_month} / {usage.quota.pages_per_month}")

# Rotate (new key, old one revoked, same tier)
new_key = client.keys.rotate(key_id="abc123", user_id="user123")
print(new_key.key)  # New key

# Revoke
client.keys.revoke(key_id="abc123", user_id="user123")

Migrating from Unstructured

One import change:

# Before
from unstructured_client import UnstructuredClient
client = UnstructuredClient(server_url="https://api.unstructured.io")

# After
from ailang_parse import UnstructuredClient
client = UnstructuredClient(
    server_url="https://api.parse.sunholo.com"
)

# All existing code works unchanged
elements = client.general.partition(file="report.docx")
for el in elements:
    print(f"{el.type}: {el.text[:80]}")
    print(f"  metadata: {el.metadata.filename}")

Error Handling

from ailang_parse import DocParse, DocParseError, AuthError, QuotaError

client = DocParse(api_key="dp_invalid")

try:
    result = client.parse("file.docx")
except AuthError as e:
    print(f"Bad key: {e}")           # 401
except QuotaError as e:
    print(f"Quota exceeded: {e}")    # 429
except DocParseError as e:
    print(f"API error ({e.status_code}): {e}")

Configuration

client = DocParse(
    api_key="dp_your_key",
    base_url="https://your-deployment.run.app",  # Custom endpoint
    timeout=120,                                   # Request timeout (seconds)
)

Links

• AILANG Parse Website
• API Documentation
• GitHub
• Swagger UI