A professional, pluggable CAPTCHA library with image, math, and custom challenge types, token-based security, and multiple storage backends.
Project description
InnoCaptcha
A pluggable Python CAPTCHA library supporting image-based text challenges, arithmetic challenges, audio challenges, token-based security, and multiple storage backends.
PyPI · GitHub · Issues · Discussions
Table of Contents
Installation
pip install InnoCaptcha
Quick Start
1. Text CAPTCHA
Generates an image-based CAPTCHA with configurable text, colors, and dimensions. All images include random distortions and anti-aliasing.
from InnoCaptcha.text import TextCaptcha
# Basic usage
captcha = TextCaptcha()
captcha.create("abs")
print(captcha.verify("abs")) # True
captcha.save(r"captcha.png")
# Custom dimensions and colors
captcha = TextCaptcha(
width=350,
height=100,
color=(255, 137, 6),
background=(15, 14, 23)
)
captcha.create()
print(captcha.verify('Answer'))
captcha.save(r"captcha.jpg")
Constructor Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
width |
int or None |
300 |
Image width in pixels. |
height |
int or None |
80 |
Image height in pixels. |
color |
tuple[int, int, int] |
Random color |
Foreground (text) color in RGB. |
background |
tuple[int, int, int] |
Random color |
Background color in RGB. |
create(chars: str) — The text string to render in the CAPTCHA image. Optional.
save() Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
path |
str |
'captcha.png' |
Full file path or file name to write the image. |
Notes:
- Uses
secretsfor cryptographically strong randomness.- Rendering can be tuned via module-level constants such as
CHARACTER_OFFSET_DXandWORD_SPACE_PROBABILITY.
2. Math CAPTCHA
Generates arithmetic challenges (addition, subtraction, multiplication, division). All results are integers — the problem regenerates automatically if division would produce a fraction. Can output as plain text or an image.
from InnoCaptcha.math import MathCaptcha
# Text output (default)
challenge = MathCaptcha()
print(challenge.get_question()) # e.g., "7 + 3 = ?"
print(challenge.answer) # e.g., "10"
# Image output
image_challenge = MathCaptcha(output="image")
image_challenge.get_question().show() # Returns a PIL.Image
print(challenge.verify(10)) # True
print(challenge.verify("10")) # True — string input accepted
3. Audio CAPTCHA
Generates a spoken character sequence as a WAV file. Each character is spliced from pre-recorded audio samples stored in the data/ directory, with per-character noise injection, randomized playback speed, and a low-pass filter applied to the combined output. Challenge state is persisted in SQLite with a 5-minute expiry and a 5-attempt limit.
from InnoCaptcha.audio import AudioCaptcha
# Basic usage
captcha = AudioCaptcha()
captcha.create("ab3")
captcha.save("captcha.wav")
print(captcha.verify("ab3")) # True
print(captcha.verify("wrong")) # False
create(chars: str) — Accepts up to 6 characters. Each character must have a corresponding <char>.wav file in the data/ directory. Raises FileNotFoundError if any file is missing.
save() Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
path |
str |
— | Full file path to write the output WAV file. |
verify(user_input: str) -> bool or str
| Return value | Condition |
|---|---|
True |
Input matches the stored answer (case-insensitive). |
False |
Input does not match; attempt counter incremented. |
str (error message) |
Captcha expired or maximum attempts (5) reached. |
Notes:
- Uses
secretsfor randomness in noise generation and speed variation.- A background thread runs on instantiation to purge expired records from the database.
- Output is a 44100 Hz, 16-bit, mono WAV file.
4. Image CAPTCHA
Presents a 3×3 grid overlay on a randomly selected image. The user identifies which grid cells contain the target object. Detection is performed using YOLOv11n — cells are marked correct if any detected bounding box overlaps them. Challenge state is persisted in SQLite with a 5-minute expiry and a 6-attempt limit.
from InnoCaptcha.image import ImageCaptcha
captcha = ImageCaptcha()
captcha.create()
print(captcha.verify()) # True, False, or str on expiry/lockout
create() — Loads a random image from the dataset, runs YOLO inference to locate objects, and draws a 3×3 blue grid over the result. Must be called before verify().
verify() -> bool or str — Displays the gridded image and prompts the user to enter the cell numbers (1–9, comma-separated) containing the detected object. Returns True only if the submitted cells exactly match all cells that overlap a detected bounding box.
verify(user_input: str) -> bool or str
| Return value | Condition |
|---|---|
True |
Submitted cells exactly match all detected object cells. |
False |
Input does not match; attempt counter incremented. |
str (error message) |
Captcha expired or maximum attempts (6) reached. |
Notes:
- Grid numbering is row-major: 1–3 top row, 4–6 middle row, 7–9 bottom row.
- Image dataset must be structured as
data/images/<class>/<filename>.- Uses
secretsfor random image selection.- A background thread runs on instantiation to purge expired records from the database.
5. Command-Line Interface
# Display the installed version
InnoCaptcha --version
# Upgrade to the latest release on PyPI
InnoCaptcha --upgrade
API Reference
TextCaptcha
| Method / Attribute | Description |
|---|---|
create(chars: str) |
Renders the given string into a distorted CAPTCHA image. |
verify(input: str) |
Returns True if input matches the generated text. |
save(path) |
Writes the image to the specified file path. |
MathCaptcha
| Method / Attribute | Description |
|---|---|
get_question() -> str | PIL.Image.Image |
Returns the challenge string (e.g. "7 + 3 = ?") or a rendered PIL Image if output="image". |
answer: str |
The correct string integer answer to the current challenge. |
verify(input) -> bool |
Returns True if input equals the answer. |
AudioCaptcha
| Method / Attribute | Description |
|---|---|
create(chars: str) |
Builds the audio challenge from up to 6 characters using per-character WAV files. |
verify(input: str) |
Returns True on match, False on mismatch, or a str on expiry/lockout. |
save(path: str) |
Writes the generated audio to a 44100 Hz 16-bit mono WAV file. |
id: str |
The hex token identifying this challenge in the database. |
audio: np.ndarray |
Raw float32 audio samples; None until create() is called. |
ImageCaptcha
| Method / Attribute | Description |
|---|---|
create() |
Runs YOLO detection on a random dataset image and overlays a 3×3 grid. |
verify() -> bool or str |
Displays the image, accepts grid input, returns True on exact match. |
id: str |
The hex token identifying this challenge in the database. |
image_class: str |
The randomly selected object class for the current challenge. |
annotation_coordinates |
List of (x1, y1, x2, y2) bounding boxes from YOLO inference. |
Requirements
- Python 3.9 or later
- Pillow >= 10.0.0
- numpy
- scipy
- ultralytics
- opencv-python
License
MIT — InnoSoft Company
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file innocaptcha-2.2.1.tar.gz.
File metadata
- Download URL: innocaptcha-2.2.1.tar.gz
- Upload date:
- Size: 7.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c55543a1d0fe40967aa9b853c868b9b5eeb143ef20b2939d73f7881765392a44
|
|
| MD5 |
0c612d55917a59156d33c64c78498b9c
|
|
| BLAKE2b-256 |
a994923f5be3f5700b28362778103fc23592e70b5b880e5b6c7188ce7ed42e45
|
File details
Details for the file innocaptcha-2.2.1-py3-none-any.whl.
File metadata
- Download URL: innocaptcha-2.2.1-py3-none-any.whl
- Upload date:
- Size: 7.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1fae089e8861ad4b0b1c4e175d3b848c46868b61e17843b845739b38389f58ba
|
|
| MD5 |
a500c1cd06bc1b5c4ca073bc98124356
|
|
| BLAKE2b-256 |
62c7e46cd17cae944d9154e64b3af6d624087914a998392639e2002cf9b5174c
|