How to get `pdftotext` to output text in a readable encoding?
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I converted a PDF file into a txt file using pdftotext
. As an example, I have the sentence "This is the first study on the functional relevance of", notice the f in "first"; when I process this sentence through GATE I get "first" distorted as "�rst". Also, in "proteins were isolated from episomally transfected HEK293EBNA cells and purified by affinity chromatography on a", some words that contain a character looks like f but it not f is distorted as well "proteins were isolated from episomally transfected hek293ebna cells and puri�ed by af�nity chromatography on a".
How can I get pdftotext
to output text in a readable encoding?
text-processing pdf
add a comment |
I converted a PDF file into a txt file using pdftotext
. As an example, I have the sentence "This is the first study on the functional relevance of", notice the f in "first"; when I process this sentence through GATE I get "first" distorted as "�rst". Also, in "proteins were isolated from episomally transfected HEK293EBNA cells and purified by affinity chromatography on a", some words that contain a character looks like f but it not f is distorted as well "proteins were isolated from episomally transfected hek293ebna cells and puri�ed by af�nity chromatography on a".
How can I get pdftotext
to output text in a readable encoding?
text-processing pdf
add a comment |
I converted a PDF file into a txt file using pdftotext
. As an example, I have the sentence "This is the first study on the functional relevance of", notice the f in "first"; when I process this sentence through GATE I get "first" distorted as "�rst". Also, in "proteins were isolated from episomally transfected HEK293EBNA cells and purified by affinity chromatography on a", some words that contain a character looks like f but it not f is distorted as well "proteins were isolated from episomally transfected hek293ebna cells and puri�ed by af�nity chromatography on a".
How can I get pdftotext
to output text in a readable encoding?
text-processing pdf
I converted a PDF file into a txt file using pdftotext
. As an example, I have the sentence "This is the first study on the functional relevance of", notice the f in "first"; when I process this sentence through GATE I get "first" distorted as "�rst". Also, in "proteins were isolated from episomally transfected HEK293EBNA cells and purified by affinity chromatography on a", some words that contain a character looks like f but it not f is distorted as well "proteins were isolated from episomally transfected hek293ebna cells and puri�ed by af�nity chromatography on a".
How can I get pdftotext
to output text in a readable encoding?
text-processing pdf
text-processing pdf
edited Feb 26 at 14:01
Jeff Schaller
43.8k1161141
43.8k1161141
asked Mar 20 '15 at 15:29
hamidhamid
1612
1612
add a comment |
add a comment |
2 Answers
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Observe that, in the text you pasted, "fi" in "first" and "ffi" in
"affinity" are ligatures (multiple characters combined into a single
glyph). Presumably, pdftotext
prints each of these ligatures as a
single character, which the tools you use to read the text do not support.
As a Super User question suggests, try this:
pdftotext -enc ASCII7 input.pdf output.txt
This should prevent pdftotext
from printing ligatures verbatim, forcing it to expand them into ASCII characters.
add a comment |
Since I was already converting pdfs to text in Python, I post-process the pdf text using a simple Python command:
# efficient ->
# efficient
import unicodedata
pdf_text = unicodedata.normalize("NFKC", pdf_text)
add a comment |
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2 Answers
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active
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2 Answers
2
active
oldest
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active
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active
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votes
Observe that, in the text you pasted, "fi" in "first" and "ffi" in
"affinity" are ligatures (multiple characters combined into a single
glyph). Presumably, pdftotext
prints each of these ligatures as a
single character, which the tools you use to read the text do not support.
As a Super User question suggests, try this:
pdftotext -enc ASCII7 input.pdf output.txt
This should prevent pdftotext
from printing ligatures verbatim, forcing it to expand them into ASCII characters.
add a comment |
Observe that, in the text you pasted, "fi" in "first" and "ffi" in
"affinity" are ligatures (multiple characters combined into a single
glyph). Presumably, pdftotext
prints each of these ligatures as a
single character, which the tools you use to read the text do not support.
As a Super User question suggests, try this:
pdftotext -enc ASCII7 input.pdf output.txt
This should prevent pdftotext
from printing ligatures verbatim, forcing it to expand them into ASCII characters.
add a comment |
Observe that, in the text you pasted, "fi" in "first" and "ffi" in
"affinity" are ligatures (multiple characters combined into a single
glyph). Presumably, pdftotext
prints each of these ligatures as a
single character, which the tools you use to read the text do not support.
As a Super User question suggests, try this:
pdftotext -enc ASCII7 input.pdf output.txt
This should prevent pdftotext
from printing ligatures verbatim, forcing it to expand them into ASCII characters.
Observe that, in the text you pasted, "fi" in "first" and "ffi" in
"affinity" are ligatures (multiple characters combined into a single
glyph). Presumably, pdftotext
prints each of these ligatures as a
single character, which the tools you use to read the text do not support.
As a Super User question suggests, try this:
pdftotext -enc ASCII7 input.pdf output.txt
This should prevent pdftotext
from printing ligatures verbatim, forcing it to expand them into ASCII characters.
edited Mar 20 '17 at 10:18
Community♦
1
1
answered Mar 20 '15 at 15:48
dhagdhag
11.5k33246
11.5k33246
add a comment |
add a comment |
Since I was already converting pdfs to text in Python, I post-process the pdf text using a simple Python command:
# efficient ->
# efficient
import unicodedata
pdf_text = unicodedata.normalize("NFKC", pdf_text)
add a comment |
Since I was already converting pdfs to text in Python, I post-process the pdf text using a simple Python command:
# efficient ->
# efficient
import unicodedata
pdf_text = unicodedata.normalize("NFKC", pdf_text)
add a comment |
Since I was already converting pdfs to text in Python, I post-process the pdf text using a simple Python command:
# efficient ->
# efficient
import unicodedata
pdf_text = unicodedata.normalize("NFKC", pdf_text)
Since I was already converting pdfs to text in Python, I post-process the pdf text using a simple Python command:
# efficient ->
# efficient
import unicodedata
pdf_text = unicodedata.normalize("NFKC", pdf_text)
answered Feb 26 at 12:52
BlaiseBlaise
1113
1113
add a comment |
add a comment |
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