Textkernel (Sovren) Tx Platform: parse a resume via the Resume Parser API
domain: textkernel.com · 6 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗
Steps
Obtain a Tx Platform account and note your Tx-AccountId and Tx-ServiceKey credentials issued at account creation.
Base64-encode the resume file bytes (standard base64 per RFC 4648 Section 4, not base64url) for the DocumentAsBase64String field.
POST to /v9/parser/resume with headers Tx-AccountId and Tx-ServiceKey, sending a JSON body with DocumentAsBase64String and the mandatory RevisionDate (YYYY-MM-DD) so the parser can interpret relative dates like 'current'.
Set optional flags as needed: OutputHtml/OutputRtf/OutputPdf for format conversion, UseLLMParser for the LLM-based parser, and SkillsSettings.Normalize/ProfessionsSettings.Normalize for taxonomy-normalized skills and job titles.
Read Value.ParsedDocument (or Value.ScrubbedParsedDocument for a PII-redacted version) from the response, and monitor Value.CreditsRemaining on every call to avoid running out of parsing credits.
Check Info.Code for Success vs. warning/error codes (WarningsFoundDuringParsing, Timeout, ConversionException, MissingParameter, InvalidParameter, AuthenticationError) before trusting the parsed output.
Known gotchas
RevisionDate is mandatory and directly affects date interpretation accuracy — omitting it or supplying the wrong date silently skews parsed work-history date ranges.
The service assumes every input file is a resume/CV and does not detect non-resume documents — feeding it other document types produces unreliable ('garbage in, garbage out') results.
Re-parsing a file after receiving an exception still deducts credits since you'll get the same result each time — fix the input/request before retrying rather than blindly resubmitting.
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