Still can't find the Tesseract on Lambda

[Ageneinair]

Really great article and it's a very clear start for me. Thank you! However, from the AWS console, it shows tesseract still not be installed:

START RequestId: d1674504-5404-4809-a941-63fbf94e96b9 Version: $LATEST
[ERROR] TesseractNotFoundError: tesseract is not installed or it's not in your PATH. See README file for more information.
Traceback (most recent call last):
  File "/var/task/ocr/handler.py", line 25, in handler
    result = run(image_bytes,oem,psm,only_extract_number)
  File "/var/task/ocr/handler.py", line 55, in run
    ocr_result = ocr(img,oem,psm,only_extract_number)
  File "/var/task/ocr/handler.py", line 48, in ocr
    result = pytesseract.image_to_string(img,config=custom_config)
  File "/opt/python/lib/python3.7/site-packages/pytesseract/pytesseract.py", line 374, in image_to_string
    }[output_type]()
  File "/opt/python/lib/python3.7/site-packages/pytesseract/pytesseract.py", line 373, in <lambda>
    Output.STRING: lambda: run_and_get_output(*args),
  File "/opt/python/lib/python3.7/site-packages/pytesseract/pytesseract.py", line 282, in run_and_get_output
    run_tesseract(**kwargs)
  File "/opt/python/lib/python3.7/site-packages/pytesseract/pytesseract.py", line 254, in run_tesseract
    raise TesseractNotFoundError()
END RequestId: d1674504-5404-4809-a941-63fbf94e96b9
REPORT RequestId: d1674504-5404-4809-a941-63fbf94e96b9  Duration: 1184.76 ms    Billed Duration: 1200 ms    Memory Size: 128 MB Max Memory Used: 77 MB  Init Duration: 388.44 ms    "

I don't know where I did wrong. here is how my layer folder looks like: all related packages are in tesseract-packages

Did I do something wrong for the unzipping path?

[jangia]

It's hard to tell a lot just from the provided image but here are some things I've noticed:

• If you're using pytesseract you'll have to change command from tesseract to /opt/tesseract
• You'll also need to set LD_LIBRARY_PATH to /opt/lib
• Your project should look like something this: ├── build_tesseract.sh ├── Dockerfile ├── handler.py ├── lambda_event.json ├── layer │   ├── lib │   │   ├── libjpeg.so.62 │   │   ├── liblept.so.5 │   │   ├── libpng15.so.15 │   │   ├── libtesseract.so.4 │   │   └── libwebp.so.4 │   ├── python │   │   └── lib │   │   └── python3.7 │   │   └── site-packages/... │   ├── tessdata │   │   ├── configs │   │   │   └── pdf │   │   ├── eng.traineddata │   │   └── pdf.ttf │   └── tesseract ├── requirements.txt ├── serverless.yml ├── tesseract ├── test_handler.py ├── test.jpg └── use_ocr_as_a_service.py

The most important is that layer have structure like in example - inside site-packages should be installed python dependencies(I omit them for clarity).

Your folder structure is quite different - python dependenices must be inside python/lib/python3.7/site-packages/. Otherwise the won't be resolved automatically.

Hope it helps.