image2ppt 0.1.0

Official Python client for the image2ppt API — convert images and PDFs into editable PowerPoint (.pptx).

image2ppt — Python client

Official Python client for the image2ppt API. Turn a batch of images or PDF pages into one editable PowerPoint (.pptx).

Install

pip install image2ppt

Requires Python 3.9+. Depends on requests and Pillow (Pillow powers optional client-side image pre-compression — see below).

Get an API key

Sign in at image2ppt.com, open Developer / API from the account menu, and create a key (looks like i2p_live_xxxx). It's shown in full once — save it. API access is available to accounts with credits.

Server-side only. Keep your key on your backend. Never embed it in a browser, mobile app, or anything a user can inspect.

Quick start

One shot — submit, wait, download:

from image2ppt import Image2PPTClient

client = Image2PPTClient(api_key="i2p_live_your_key")

job = client.convert(
    ["slide1.png", "slide2.png", "report.pdf"],
    dest_path="out.pptx",
    locale="zh-CN",       # optional: "zh-CN" (default) or "en"
    aspect_ratio="16:9",  # optional: "auto" (default) / "16:9" / "4:3"
)
print("done — credits used:", job.credits_used, "refunded:", job.credits_refunded)

Step by step, if you want to control polling:

job = client.submit(["slide1.png"], aspect_ratio="4:3")
print("job:", job.job_id, "credits reserved:", job.credits_reserved)

job = client.wait(job.job_id, poll_interval=5, timeout=1800)
client.download(job.job_id, "out.pptx")

Check your balance:

info = client.account()
print(info["email"], "credits:", info["credits"])

How it works

• Async. submit returns a job id immediately; conversion runs in the background. A single page typically takes ~2 minutes; 90% of jobs finish within 3.
• One job = one PPTX. All files in a submission are merged into a single deck, in upload order.
• Billed per page. 1 page = 1 credit, reserved at submit and settled on completion. If some pages fail but others succeed, the job still completeds with the good pages and the failed pages' credits are refunded (credits_refunded).
• Limits. Each file ≤ 35MB; total ≤ 50 pages per job (images count as 1, PDFs as their page count).
• Client-side pre-compression. Images are compressed to the server's spec before upload (≤2000px, ≤1MB, JPEG), so the server's own pass is a no-op and you send fewer bytes. PDFs are uploaded as-is and rendered server-side.

Rate limits

Per account (all keys share the budget): ≤ 10 concurrent jobs, ≤ 60 pages/minute submitted. Over the limit returns 429 with a Retry-After hint. wait() handles 429 backoff for you automatically. If you call submit() directly, catch RateLimitedError and honor retry_after:

import time
from image2ppt import RateLimitedError

while True:
    try:
        job = client.submit(paths)
        break
    except RateLimitedError as e:
        time.sleep(e.retry_after or 5)

Errors

Every exception subclasses Image2PPTError and carries status_code, code, and message. Branch on code, not message.

Exception	HTTP	code
AuthenticationError	401 / 403	INVALID_API_KEY, API_KEY_REQUIRED, ACCOUNT_DELETED
InvalidFileError	400	INVALID_FILE
TooManySlidesError	400	TOO_MANY_SLIDES
InsufficientCreditsError	402	INSUFFICIENT_CREDITS
RateLimitedError	429	RATE_LIMITED (has retry_after)
JobNotFoundError	404	JOB_NOT_FOUND
NotReadyError	409	NOT_READY
OutputExpiredError	410	OUTPUT_EXPIRED
JobFailedError	—	job's error.code (raised by wait(); e.job is the snapshot)
Image2PPTTimeoutError	—	— (wait() exceeded its timeout; job may still be running)

from image2ppt import Image2PPTError, JobFailedError

try:
    job = client.convert(paths, "out.pptx")
except JobFailedError as e:
    print("conversion failed:", e.code, e.message)
except Image2PPTError as e:
    print("request error:", e.status_code, e.code, e.message)

Full API reference

See ../docs/api.md for the complete HTTP contract (endpoints, fields, error codes).

License

MIT