Jetman

Jetman Logo

Description

Jetman is a 2D side-scrolling action game with RPG elements, set in a fantasy and sci-fi universe. Players take on the role of a hero battling against the Dimensional War Party Byrum, a group of outer-dimensional nobles who seek to conquer Earth. The game features platforming, combat, and strategic gameplay as players confront various enemies and challenges in their quest to save the world.

Gameplay Videos

Where to Buy Jetman

PC

Jetman Free Download

Jetman Guides & Walkthroughs

Jetman Reviews & Reception

steambase.io (100/100): JETMAN has earned a Player Score of 100 / 100.

stmstat.com : If you’re looking for a fun challenge that you can feasibly get through in one day (with some persistence), give this one a shot!

shibagameaward.com : You can enjoy deep action with just one button, and to efficiently defeat enemies, you need to adjust the timing of your button presses, which adds a nice sense of tension and action to the battles.

Jetman Cheats & Codes

NES

Enter the following codes in a Game Genie or Action Replay for NES.

Code Effect
SGONPTVG+SXOZVLSA Infinite Energy
SZNSLASA Infinite Special
ENUYGIEI+ENNYZYEI Invincibility
003B:01 Character Modifier
0086:00 Weapon Modifier
0087:08 Infinite Health
0088:01 Infinite Special Attacks
008A:00 Walk Through Enemies
0617:00 Boss 1 Hit Kill
004B:01 Area A Clear
004C:01 Area B Clear
004D:01 Area c Clear
004E:01 Area d Clear
004F:01 Area E Clear
AEONZVLG Hit Anywhere Normal Enemies
ASSPGPEL+YESPIPGU Hit Anywhere Normal Bosses

To perform OCR on the uploaded image file and extract text, follow these steps using Python with the pytesseract and Pillow libraries:

Key Steps:

  1. Decode Base64: Convert the base64-encoded image data into bytes.
  2. Load Image: Use PIL’s Image.open() to create an image object from the bytes.
  3. OCR Processing: Pass the image to Tesseract’s image_to_string() to extract text.
  4. Return Result: The extracted text is returned as a string.

Requirements:

Notes:

  1. Image Quality: Ensure the image is clear and text is readable for better OCR accuracy.
  2. Language Support: For non-English text, install additional language packs and specify in the code:

  3. Error Handling: Add try-except blocks for robustness:

Replace your_base64_image_string with the actual base64 data from your uploaded image to extract text.

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