Skip to main content

tpro processes transcripts from speech-to-text services and outputs to various formats.

Project description

tpro

Transcript Processing! tpro takes JSON-formatted transcripts produced by various speech-to-text services and converts them to various standardized formats.

Installation and Usage

Non-pip Requirement: Stanford NER JAR

  • download and unzip this
  • put these files in in /usr/local/bin/:
    • stanford-ner.jar
    • classifiers/english.all.3class.distsim.crf.ser.gz
  • you might have to update Java on Linux

Pip

$ pip install tpro

Usage

$ tpro --help

Usage: tpro [OPTIONS] JSON_PATH_OR_DATA [amazon|gentle|speechmatics]
        [universal_transcript|viral_overlay]

Options:
  -s, --save TEXT  save to file
  --help           Show this message and exit.

Example

STT Services

Planned

Output Formats

Planned

  • Word (.doc, .docx)
  • text files
  • SRT (subtitles)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tpro-0.4.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tpro-0.4-py3-none-any.whl (9.1 kB view details)

Uploaded Python 3

File details

Details for the file tpro-0.4.tar.gz.

File metadata

  • Download URL: tpro-0.4.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2

File hashes

Hashes for tpro-0.4.tar.gz
Algorithm Hash digest
SHA256 118d931b52818f44bb414ff9ae2dc79720266b2da79090181b9b144b0e3fdbaf
MD5 7678278f61651fcf57ed86b0db2e3e7f
BLAKE2b-256 1ea28e54510293a5ac442a8f44c4dad2a8b10263357c799836b75959896dd639

See more details on using hashes here.

File details

Details for the file tpro-0.4-py3-none-any.whl.

File metadata

  • Download URL: tpro-0.4-py3-none-any.whl
  • Upload date:
  • Size: 9.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2

File hashes

Hashes for tpro-0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 18c726651ddc4862467ff37c5baad2df53283488686d5cb8c99617c198cbb94b
MD5 abeab2ad249a44c1da024eaf77ece37d
BLAKE2b-256 e0cde1dbe8500741235f088a9e131467820ed041f746a0b419773a76e2326740

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page