Yes. tesseract runs. Argusic installed and launched it on a clean machine in 36 minutes, hitting 7 errors on the way, and recorded the session.

How did Argusic test tesseract?

On a fresh, disposable machine, with every command recorded and the repository pinned at commit 76865fa087c1. 3 attempts are recorded, and the full method is on the methodology page.

What did it cost to test tesseract?

The run that produced this verdict cost $0.14: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.

How long does tesseract take to install?

36 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.

Does tesseract need a GPU?

Not to start. Argusic reached a running state on a machine with no GPU.

What goes wrong when installing tesseract?

7 things broke in the recorded run, and 7 were fixed without human help. Each one, and the time it cost, is listed on this page.

Where is the evidence for tesseract?

All 3 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

tesseract

Tesseract Open Source OCR Engine (main repository)

Runssource: GitHub homepageC++Apache-2.0commit 76865fa087c1

C++, Apache-2.0 licensed. The project labels itself: hacktoberfest, lstm, machine learning, ocr, ocr engine, tesseract and tesseract ocr.

tesseract runs. An Argusic agent installed it in 36 minutes and hit 7 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.

Tesseract 5.5.3 builds and runs from source via cmake, correctly OCRs a test image, and 52 of 53 unit tests pass (1 pre-existing test bug in progress_test with a Gt/Ge boundary condition).
What the agent ended up with on a clean machine, in its own words. How this is measured

Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 100 of 100 (the mean of this project's run scores).

At a glance

verdict: Runs
Argusic Score: 100 / 100
cost of the verifying run: $0.14 (measured)
recorded runs: 3
last tested: 2026-09-20
stars: 76,635
forks: 10,811
open issues: 484
watchers: 1,717
size: 54 MB
created: 2014-08-12
last push: 2026-09-11

Subject data from GitHub, linked at the top of this page, refreshed 2026-09-23. Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

What was measured

From the run that decided this verdict. Every line is a recorded value, not an estimate.

Time lost to each failure while testing tesseract, drawn from the recorded run — Every bar is a failure the agent recorded, with the time it cost. Drawn from this run, not from anywhere else.

What went wrong, in the agent's own words

The agent's own words, worst first, never rewritten into advice.

Missing traineddata files for languages (eng, osd, heb, ara, chi_tra, jpn, vie, hin, kmr, script/Latin)5 minutes
Missing langdata_lstm resources (radical-stroke.txt, hin/*, eng/*, font_properties, extendedhin/*)5 minutes
Missing Leptonica and other -dev packages (no root apt install)3 minutes
Static libarchive.a has unresolved zlib symbols at link time2 minutes
ICU headers not found (prefix=/usr hardcoded in .pc files)2 minutes
libgif.so.7 not found at runtime linking1 minute

Install time: 36 minutes
Cold machine to finish: 38 minutes
Errors hit and fixed: 7 hit, 7 fixed with no human help
How the result was proved: tesseract --version printed 5.5.3 with leptonica-1.82.0, libjpeg-turbo 2.1.5, libpng 1.6.43, libtiff 4.5.1, zlib 1.3, libwebp 1.3.2, libopenjp2 2.5.0; tesseract /tmp/test.png stdout returned 'HelloWorld 123'; ctest --exclude-regex progress_test reported 100% tests passed, 0 failed out of 52 in 31.51s
Model tokens used: 237,868
Exact commit tested: 76865fa087c1
Container image: sha256:cdd920bce783

What was not measured

The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.

Peak GPU memory: this ran on a CPU machine, so there was no GPU to sample
Behaviour over a long run: each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load

The end of the recording

The last lines of the terminal session that decided this verdict, exactly as they were recorded.

  image.destroy();
}
TEST(QuickTest, ClassicProgressReporting) {
  ClassicProgressTester(TESTING_DIR "/phototest.tif", TESSDATA_DIR "_fast", "eng");
}
exec
/bin/sh -lc 'cd /work/repo/build3 && export LD_LIBRARY_PATH=/tmp/staging/usr/lib/x86_64-linux-gnu &…
 succeeded in 31369ms:
100% tests passed, 0 tests failed out of 52
Total Test time (real) =  31.51 sec
tokens used
237,868

Replay the whole session, every command from a clean machine to this point.

How it was tested

One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.

Strengths and limits

Measured facts, not opinions. How this is written.

What went well

Reached a running state on a clean machine, with the session recorded.
Installed in 36 minutes.
Recovered from all 7 errors without a human stepping in, which says the failures are documented well enough to solve.
Ran without a GPU, so it does not need one to start.
Licensed Apache-2.0, as reported by its host.
Measured 3 times, so the result is not a one-off.

What it is a reasonable choice for

Trying it on a laptop or a small server: it reached a running state without a GPU.

Run history

tested by	attempt	outcome	score	cost USD	when
Argusic Runner	3/3	Runs	100.00	0.14	2026-09-20 22:54 UTC
Argusic Runner	2/3	Runs	100.00	0.17	2026-09-14 01:41 UTC
Argusic Runner	1/3	Runs	100.00	0.53	2026-09-01 09:21 UTC

Topics (from GitHub)

hacktoberfest lstm machine-learning ocr ocr-engine tesseract tesseract-ocr

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/tesseract.svg)](https://argusic.com/subject/tesseract)

Questions

Does tesseract run?: Yes. tesseract runs. Argusic installed and launched it on a clean machine in 36 minutes, hitting 7 errors on the way, and recorded the session.
How did Argusic test tesseract?: On a fresh, disposable machine, with every command recorded and the repository pinned at commit 76865fa087c1. 3 attempts are recorded, and the full method is on the methodology page.
What did it cost to test tesseract?: The run that produced this verdict cost $0.14: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does tesseract take to install?: 36 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
Does tesseract need a GPU?: Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing tesseract?: 7 things broke in the recorded run, and 7 were fixed without human help. Each one, and the time it cost, is listed on this page.
Where is the evidence for tesseract?: All 3 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.